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<h1 class="first">Meetups & Events</h1>
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<section id="brighttalk-comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications" class="page-section news-section">
<div><h3 style="display:inline-block;">Comparing Apache® Ignite™ and Cassandra™ for Hybrid Transactional Applications (HTAP)
<a href="/events.html#brighttalk-comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">BrightTALK Webinar, Denis Magda</span><br/><br/>
<span class="news-date">March 28, 2018</span>
<p>
Learn some of the current best practices in building HTAP applications, and the
differences between two of the more common technologies companies use: Apache® Cassandra™ and Apache® Ignite™.
This session will cover:
</p>
<ul class="page-list">
<li>The requirements for real-time, high volume HTAP applications</li>
<li>Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale</li>
<li>A detailed comparison of Apache Ignite and GridGain® for HTAP applications</li>
</ul>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.brighttalk.com/webcast/9059/306965?utm_campaign=webcasts-search-results-feed&utm_content=Ignite&utm_source=brighttalk-portal&utm_medium=web" target="_blank">Read more</a>
</p>
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data-a2a-title="Comparing Apache® Ignite™ and Cassandra™ for Hybrid Transactional Applications (HTAP)">
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<section id="comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications" class="page-section news-section">
<div><h3 style="display:inline-block;">Comparing Apache® Ignite™ and Cassandra™ for Hybrid Transactional Applications (HTAP)
<a href="/events.html#comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">March 28, 2018</span>
<p>
Learn some of the current best practices in building HTAP applications, and the
differences between two of the more common technologies companies use: Apache® Cassandra™ and Apache® Ignite™.
This session will cover:
</p>
<ul class="page-list">
<li>The requirements for real-time, high volume HTAP applications</li>
<li>Architectural best practices, including how in-memory computing fits in and has eliminated tradeoffs between consistency, speed and scale</li>
<li>A detailed comparison of Apache Ignite and GridGain® for HTAP applications</li>
</ul>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications" target="_blank">Read more</a>
</p>
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data-a2a-url="https://www.gridgain.com/resources/webinars/comparing-apacher-ignitetm-and-cassandratm-hybrid-transactional-applications"
data-a2a-title="Comparing Apache® Ignite™ and Cassandra™ for Hybrid Transactional Applications (HTAP)">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="in-memory-computing-essentials-for-data-scientists" class="page-section news-section">
<div><h3 style="display:inline-block;">In-Memory Computing Essentials for Data Scientists
<a href="/events.html#in-memory-computing-essentials-for-data-scientists"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Symbion IoT Meetup (Copenhagen, Denmark), Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 28, 2018</span>
<p>
In this hands on workshop, attendees will be introduced to the fundamental capabilities of in-memory computing platforms that
boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by
storing and processing massive amounts of data in memory and on disk across a cluster of machines.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://symbion.dk/event/in-memory-computing-essentials-for-data-scientists/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://symbion.dk/event/in-memory-computing-essentials-for-data-scientists/"
data-a2a-title="In-Memory Computing Essentials for Data Scientists">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="apache-ignite-the-in-memory-hammer-in-your-data-science-toolkit" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite: the in-memory hammer in your data science toolkit
<a href="/events.html#apache-ignite-the-in-memory-hammer-in-your-data-science-toolkit"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Symbion IoT Meetup (Copenhagen, Denmark), Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 27, 2018</span>
<p>
In this presentation, Akmal will explain some of the main components of Apache Ignite,
such as the Compute Grid, Data Grid and the Machine Learning Grid.
Through examples, attendees will learn how Apache Ignite can be used for data analysis.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://symbion.dk/event/apache-ignite-the-in-memory-hammer-in-your-data-science-toolkit/" target="_blank">Read more</a>
</p>
</div>
<div class="col-sm-12 col-md-3 col-xs-12 ">
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data-a2a-url="https://symbion.dk/event/apache-ignite-the-in-memory-hammer-in-your-data-science-toolkit/"
data-a2a-title="Apache Ignite: the in-memory hammer in your data science toolkit">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="Atlanta-Apache-Spark-User-Group-events-247807609" class="page-section news-section">
<div><h3 style="display:inline-block;">How to Share State Across Multiple Spark Jobs using Apache Ignite
<a href="/events.html#Atlanta-Apache-Spark-User-Group-events-247807609"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Atlanta Apache Spark User Group, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 20, 2018</span>
<p>
This session will demonstrate how to easily share state in-memory across multiple Spark jobs,
either within the same application or between different Spark applications using an implementation of the Spark RDD abstraction provided in Apache Ignite
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Atlanta-Apache-Spark-User-Group/events/247807609/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Atlanta-Apache-Spark-User-Group/events/247807609/"
data-a2a-title="How to Share State Across Multiple Spark Jobs using Apache Ignite">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="big-bang-Data-science-Solutions-events-247996429" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite: The in-memory hammer in your data science toolkit
<a href="/events.html#big-bang-Data-science-Solutions-events-247996429"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Big Bang Data Science - Georgia, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 19, 2018</span>
<p>
Join Big Bang Data Science as we learn from Dr. Akmal Chaudhri about some of the main components
of Apache Ignite, such as the Compute Grid, Data Grid, and the Machine Learning Grid.
Through examples, attendees will learn how Apache Ignite can be used for data analysis.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/big-bang-Data-science-Solutions/events/247996429/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/big-bang-Data-science-Solutions/events/247996429/"
data-a2a-title="Apache Ignite: The in-memory hammer in your data science toolkit">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="webinar-choosing-right-in-memory-computing-technology" class="page-section news-section">
<div><h3 style="display:inline-block;">Choosing the Right In-Memory Computing Technology
<a href="/events.html#webinar-choosing-right-in-memory-computing-technology"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Dmitriy Setrakyan</span><br/><br/>
<span class="news-date">March 14, 2018</span>
<p>
The need for real-time computing has resulted in the growth of many different in-memory computing technologies
including caches, in-memory data grids, in-memory databases, streaming technologies and broader
in-memory computing platforms. But what are the best technologies for each type of project?
Learn about your options from one of the leading in-memory computing veterans.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/choosing-right-in-memory-computing-technology" target="_blank">Read more</a>
</p>
</div>
<div class="col-sm-12 col-md-3 col-xs-12 ">
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data-a2a-url="https://www.gridgain.com/resources/webinars/choosing-right-in-memory-computing-technology"
data-a2a-title="Choosing the Right In-Memory Computing Technology">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="NYC-In-Memory-Computing-Meetup-events-248077601" class="page-section news-section">
<div><h3 style="display:inline-block;">All the Cool Kids are Doing it: The Whys and Hows of Architecting a Distributed Caching solution for your use case with Apache Ignite
<a href="/events.html#NYC-In-Memory-Computing-Meetup-events-248077601"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">NYC In-Memory Computing Meetup, Speaker - Fotios Filacouris</span><br/><br/>
<span class="news-date">March 14, 2018</span>
<p>
Are you considering a distributed cache to help accelerate and scale your existing application?
Or do you have a new project that you know the SLAs are going to require an act of magic to produce?
Have no fear, Foti is here to walk your through some reference architectures on various use cases that have
benefited from using Apache Ignite. He will cover the Why and How of each use case and the pros and cons
of different technology choices. How to use Kafka, noSQL, RDBMS, Kubernetes and container deployment, Spark,
etc will all be discussed in terms of various best practices in architecting the right solution with Apache Ignite.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/NYC-In-Memory-Computing-Meetup/events/248077601/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/NYC-In-Memory-Computing-Meetup/events/248077601/"
data-a2a-title="All the Cool Kids are Doing it: The Whys and Hows of Architecting a Distributed Caching solution for your use case with Apache Ignite">
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</section>
<section id="Moscow-Apache-Ignite-Meetup-events-247608182" class="page-section news-section">
<div><h3 style="display:inline-block;">In-Memory Computing Essentials for Architects and Developers - Part 1
<a href="/events.html#Moscow-Apache-Ignite-Meetup-events-247608182"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Moscow Apache Ignite Meetup, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">March 13, 2018</span>
<p>
Denis Magda will talk about the main features and components of In-Memory Computing solutions using the example of Apache Ignite.
The webinar combines theory and practice, after which participants will be able to design and write code for similar systems.
On specific examples of the code you will learn about:
<ul class="page-list">
<li>Configuration and launch of clusters</li>
<li>Data processing using key-value API</li>
<li>Optimal data processing with distributed SQL</li>
</ul>
<br/>
<i>This webinar is in Russian.</i>
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Moscow-Apache-Ignite-Meetup/events/247608182/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Moscow-Apache-Ignite-Meetup/events/247608182/"
data-a2a-title="In-Memory Computing Essentials for Architects and Developers: Part 1">
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</section>
<section id="elciotna18-event-DYLq" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT
<a href="/events.html#elciotna18-event-DYLq"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">OpenIoTSummit North America, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 12, 2018</span>
<p>
This session will show attendees how to build a Fast Data solution that will receive endless streams
from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.
In particular, attendees will learn about data streaming to an Apache Ignite cluster from
embedded devices and real-time data processing with Apache Spark.
</p>
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<p>
<a href="https://elciotna18.sched.com/event/DYLq" target="_blank">Read more</a>
</p>
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data-a2a-title="Apache Spark and Apache Ignite: Where Fast Data Meets the IoT">
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</section>
<section id="Amsterdam-Java-User-Group-events-246975240" class="page-section news-section">
<div><h3 style="display:inline-block;">In-Memory Computing Essentials for Java Developers
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</h3></div>
<span class="news-date">Amsterdam Java User Group Workshop, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 08, 2018</span>
<p>
Akmal Chaudhri will introduce to the fundamental capabilities of in-memory computing platforms that
boost high-load applications and services, and bring existing IT architecture to the next level by
storing and processing a massive amount of data both in RAM and, optionally, on disk.
</p>
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<p>
<a href="https://www.meetup.com/Amsterdam-Java-User-Group/events/246975240/" target="_blank">Read more</a>
</p>
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data-a2a-title="In-Memory Computing Essentials for Java Developers">
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<section id="Amsterdam-Java-User-Group-events-244797561" class="page-section news-section">
<div><h3 style="display:inline-block;">Catch an intro to the Java-powered Apache Ignite - memory-centric distributed platform
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</h3></div>
<span class="news-date">Amsterdam Java User Group, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 07, 2018</span>
<p>
In his talk, Akmal will introduce the many components of the open-source Apache Ignite.
You will learn how to solve some of the most demanding scalability and performance challenges.
Akmal will also cover a few typical use cases and work through some code examples.
Hope to see you there so you can leave ready to fire up your database deployments!
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Amsterdam-Java-User-Group/events/244797561/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Amsterdam-Java-User-Group/events/244797561/"
data-a2a-title="Catch an intro to the Java-powered Apache Ignite - memory-centric distributed platform">
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</section>
<section id="Amsterdam-Kubernetes-Meetup-events-247989650" class="page-section news-section">
<div><h3 style="display:inline-block;">Distributed Database DevOps Dilemmas? Kubernetes to the rescue!
<a href="/events.html#Amsterdam-Kubernetes-Meetup-events-247989650"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Amsterdam Kubernetes/Cloud-Native Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 06, 2018</span>
<p>
Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that
boost highly-loaded applications, research projects, risk analysis and fraud detection tasks by
storing and processing massive amounts of data in memory and on disk across a cluster of machines.<br/><br/>
These capabilities and benefits will be demonstrated with the usage of Apache Ignite which is the
in-memory computing platform that is durable, strongly consistent, and highly available with
powerful SQL, key-value and processing APIs.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Amsterdam-Kubernetes-Meetup/events/247989650/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Amsterdam-Kubernetes-Meetup/events/247989650/"
data-a2a-title="Distributed Database DevOps Dilemmas? Kubernetes to the rescue!">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="BruJUG-events-247929324" class="page-section news-section">
<div><h3 style="display:inline-block;">Skyrocket Java applications with the open-source Apache Ignite
<a href="/events.html#BruJUG-events-247929324"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">The Brussels Java User Group, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">March 05, 2018</span>
<p>
In his talk, Akmal will introduce the many components of the open-source Apache Ignite.
As Java professionals, you will learn how to solve some of the most demanding scalability and performance challenges.
He’ll also cover a few typical use cases and work through some code examples.
Attendees would leave ready to fire up their own database deployments!
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/BruJUG/events/247929324/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/BruJUG/events/247929324/"
data-a2a-title="Skyrocket Java applications with the open-source Apache Ignite">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="webinars-essentials-in-russian-part1" class="page-section news-section">
<div><h3 style="display:inline-block;">Basics of In-Memory Computing for architects and developers: Part 1
<a href="/events.html#webinars-essentials-in-russian-part1"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">Febuary 28, 2018</span>
<p>
Denis Magda will talk about the main features and components of In-Memory Computing solutions using the example of Apache Ignite.
The webinar combines theory and practice, after which participants will be able to design and write code for similar systems.
On specific examples of the code you will learn about:
<ul class="page-list">
<li>Configuration and launch of clusters</li>
<li>Data processing using key-value API</li>
<li>Optimal data processing with distributed SQL</li>
</ul>
<br/>
<i>This webinar is in Russian.</i>
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/essentials-in-russian-part1" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/essentials-in-russian-part1"
data-a2a-title="Basics of In-Memory Computing for architects and developers: Part 1">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="Big-Data-Berlin-events-247348848" class="page-section news-section">
<div><h3 style="display:inline-block;">The In-Memory Hammer In Your Data Science Toolkit
<a href="/events.html#Big-Data-Berlin-events-247348848"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Big Data, Berlin, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">Febuary 22, 2018</span>
<p>
In this presentation, Akmal will explain some of the main components of Apache Ignite,
such as the Compute Grid, Data Grid and the Machine Learning Grid.
Through examples, attendees will learn how Apache Ignite can be used for data analysis.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Big-Data-Berlin/events/247348848/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Big-Data-Berlin/events/247348848/"
data-a2a-title="The In-Memory Hammer In Your Data Science Toolkit">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="Bay-Area-In-Memory-Computing-events-247427747" class="page-section news-section">
<div><h3 style="display:inline-block;">Building consistent and highly available distributed systems with Apache Ignite and GridGain
<a href="/events.html#Bay-Area-In-Memory-Computing-events-247427747"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Bay Area In-Memory Computing Meetup, Speaker - Valentin Kulichenko</span><br/><br/>
<span class="news-date">Febuary 21, 2018</span>
<p>
In this session, meetup attendees will be given an overview of Apache® Ignite™ and GridGain capabilities that allow the delivery of high availability, while not breaking data consistency. Specific guidelines will be presented on how to build such systems covering topics such as:
<ul class="page-list">
<li>In-memory backups</li>
<li>Data persistence</li>
<li>Data center replication</li>
<li>Full and incremental snapshots</li>
</ul>
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Bay-Area-In-Memory-Computing/events/247427747/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Bay-Area-In-Memory-Computing/events/247427747/"
data-a2a-title="Building consistent and highly available distributed systems with Apache Ignite and GridGain">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="Berlin-Kubernetes-Meetup-events-247357559" class="page-section news-section">
<div><h3 style="display:inline-block;">Kubernetes: Good, Bad, Ugly of GKE and Distributed Databases in Kubernetes
<a href="/events.html#Berlin-Kubernetes-Meetup-events-247357559"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Berlin Kubernetes Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">Febuary 21, 2018</span>
<p>
In this talk you will learn how Kubernetes can orchestrate distributed database like Apache Ignite, in particular:
<ul class="page-list">
<li>Cluster Assembling - database nodes auto-discovery in Kubernetes</li>
<li>Database Resilience - automated horizontal scalability</li>
<li>Database Availability - what’s the role of Kubernetes and the database</li>
<li>Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with durability of disk</li>
</ul>
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Berlin-Kubernetes-Meetup/events/247357559/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Berlin-Kubernetes-Meetup/events/247357559/"
data-a2a-title="Kubernetes: Good, Bad, Ugly of GKE and Distributed Databases in Kubernetes">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="ibm-indexconf-sessions" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT
<a href="/events.html#ibm-indexconf-sessions"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Index Developer Conference, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">Febuary 20, 2018</span>
<p>
It is not enough to build a mesh of sensors or embedded devices to obtain more insights about the
surrounding environment and optimize your production systems. Usually, your IoT solution needs
to be capable of transferring enormous amounts of data to storage or the cloud where the
data have to be processed further.
This session will show attendees how to build a Fast Data solution that will receive
endless streams from the IoT side and will be capable of processing the streams in
real-time using Apache Ignite's cluster resources.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://developer.ibm.com/indexconf/sessions/#!?id=5554" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://developer.ibm.com/indexconf/sessions/#!?id=5554"
data-a2a-title="Apache Spark and Apache Ignite: Where Fast Data Meets the IoT">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="jug-bb-events-247490915" class="page-section news-section">
<div><h3 style="display:inline-block;">Skyrocket Java applications with the open-source Apache Ignite
<a href="/events.html#jug-bb-events-247490915"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Java Usergroup Berlin-Brandenburg, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">Febuary 20, 2018</span>
<p>
In his talk, Akmal will introduce the many components of the open-source Apache Ignite.
Meetup members, as Java professionals, will learn how to solve some of the most
demanding scalability and performance challenges. He’ll also cover a few typical use cases
and work through some code examples. Attendees would leave ready to fire up their own database deployments!
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/jug-bb/events/247490915/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/jug-bb/events/247490915/"
data-a2a-title="Skyrocket Java applications with the open-source Apache Ignite">
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</section>
<section id="redis-replaced-why-companies-now-choose-apacher-ignitetm" class="page-section news-section">
<div><h3 style="display:inline-block;">GridGain Webinar: Redis Replaced: Why Companies Now Choose Apache® Ignite™ to Improve Application Speed and Scale
<a href="/events.html#redis-replaced-why-companies-now-choose-apacher-ignitetm"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">Febuary 20, 2018</span>
<p>
Learn why businesses are choosing Apache Ignite to handle their in-memory computing needs, and moving away from traditional caches like Redis.
In this session, Denis will explain how:
<ul class="page-list">
<li>In-memory technologies have evolved from caches to in-memory computing platform</li>
<li>Apache Ignite slides in-between existing applications and SQL databases to improve performance and scale</li>
<li>Apache Ignite native SQL and ACID transaction support works</li>
<li>Apache Ignite in-memory storage and collocated computing scales out linearly to avoid scale limitations with traditional caches</li>
</ul>
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/company/news/events/gridgain-webinar-redis-replaced-why-companies-now-choose-apacher-ignitetm" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/company/news/events/gridgain-webinar-redis-replaced-why-companies-now-choose-apacher-ignitetm"
data-a2a-title="GridGain Webinar: Redis Replaced: Why Companies Now Choose Apache® Ignite™ to Improve Application Speed and Scale">
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</section>
<section id="San-Francisco-Kubernetes-Meetup-events-247330448" class="page-section news-section">
<div><h3 style="display:inline-block;">Deploy like a Boss: Using Kubernetes and Apache Ignite!
<a href="/events.html#San-Francisco-Kubernetes-Meetup-events-247330448"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">San Francisco Kubernetes Meetup, Speaker - Dani Traphagen</span><br/><br/>
<span class="news-date">Febuary 15, 2018</span>
<p>
If downtime is not an option for you and your application needs to be extremely low-latency;
what cocktail of open source projects can facilitate this best? Both Kubernetes and Apache Ignite
are Open Source Frameworks that work exceedingly well together to achieve said goals. By working with containerization
Kubernetes helps enable developers to work seamlessly with new versions of their applications, running
them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/San-Francisco-Kubernetes-Meetup/events/247330448/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/San-Francisco-Kubernetes-Meetup/events/247330448/"
data-a2a-title="Deploy like a Boss: Using Kubernetes and Apache Ignite! - Dani Traphagen">
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</section>
<section id="getting-started-apacher-ignitetm-distributed-database" class="page-section news-section">
<div><h3 style="display:inline-block;">Getting Started with Apache® Ignite™ as a Distributed Database
<a href="/events.html#getting-started-apacher-ignitetm-distributed-database"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Valentin Kulichenko</span><br/><br/>
<span class="news-date">Febuary 14, 2018</span>
<p>
Apache Ignite native persistence is a distributed ACID and SQL-compliant store that turns Apache Ignite into a full-fledged distributed SQL database.
In this webinar, Valentin Kulichenko will:
<ul class="page-list">
<li>Explain what native persistence is, and how it works</li>
<li>Show step-by-step how to set up Apache Ignite with native persistence</li>
<li>Explain the best practices for configuration and tuning</li>
</ul>
</p>
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<p>
<a href="https://www.gridgain.com/resources/webinars/getting-started-apacher-ignitetm-distributed-database" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/getting-started-apacher-ignitetm-distributed-database"
data-a2a-title="Getting Started with Apache® Ignite™ as a Distributed Database">
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</section>
<section id="Sydney-Cassandra-Users-events-246922765" class="page-section news-section">
<div><h3 style="display:inline-block;">Ignite your Cassandra Love Story: Caching Cassandra with Apache Ignite
<a href="/events.html#Sydney-Cassandra-Users-events-246922765"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Sydney Cassandra Users Meetup, Speaker - Rachel Pedreschi</span><br/><br/>
<span class="news-date">Febuary 13, 2018</span>
<p>
In this session you will learn how Apache Ignite can turbocharge your Cassandra cluster without sacrificing availability guarantees.
In this talk we’ll cover:
<ul class="page-list">
<li>An overview of the Apache Ignite architecture</li>
<li>How to deploy Apache Ignite in minutes on top of Cassandra</li>
<li>How companies use this powerful combination to handle extreme OLTP workloads</li>
</ul>
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Sydney-Cassandra-Users/events/246922765/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Sydney-Cassandra-Users/events/246922765/"
data-a2a-title="Ignite your Cassandra Love Story: Caching Cassandra with Apache Ignite">
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</section>
<section id="boston-java-events-246725780" class="page-section news-section">
<div><h3 style="display:inline-block;">Java and In-Memory Computing: Apache Ignite
<a href="/events.html#boston-java-events-246725780"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">The Boston Java Meetup Group, Speaker - Fotios Filacouris</span><br/><br/>
<span class="news-date">Febuary 13, 2018</span>
<p>
In his talk, Akmal will introduce the many components of the open-source Apache Ignite.
Meetup members, as Java professionals, will learn how to solve some of the most
demanding scalability and performance challenges. He’ll also cover a few typical use cases
and work through some code examples. Attendees would leave ready to fire up their own database deployments!
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/boston-java/events/246725780/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/boston-java/events/246725780/"
data-a2a-title="Java and In-Memory Computing: Apache Ignite">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="mysqlbos-events-246021720" class="page-section news-section">
<div><h3 style="display:inline-block;">Turbocharge your MySQL queries in-memory with Apache Ignite
<a href="/events.html#mysqlbos-events-246021720"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">The Boston MySQL Meetup Group, Speaker - Fotios Filacouris</span><br/><br/>
<span class="news-date">Febuary 12, 2018</span>
<p>
Apache Ignite is a unique data management platform that is built on top of a distributed key-value storage
and provides full-fledged MySQL support.Attendees will learn how Apache Ignite handles auto-loading of a
MySQL schema and data from PostgreSQL, supports MySQL indexes, supports compound indexes, and various
forms of MySQL queries including distributed MySQL joins.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/mysqlbos/events/246021720/" target="_blank">Read more</a>
</p>
</div>
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</section>
<section id="London-In-Memory-Computing-Meetup-events-246875000" class="page-section news-section">
<div><h3 style="display:inline-block;">Building consistent and highly available distributed systems with Apache Ignite and GridGain
<a href="/events.html#London-In-Memory-Computing-Meetup-events-246875000"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">London In-Memory Computing Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">Febuary 07, 2018</span>
<p>
It is well known that there is a tradeoff between data consistency and high availability.
However, there are many applications that require very strong consistency guarantees.
Making such applications highly available can be a significant challenge. Akmal will explain how to overcome these challenges.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/London-In-Memory-Computing-Meetup/events/246875000/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/London-In-Memory-Computing-Meetup/events/246875000/"
data-a2a-title="Building consistent and highly available distributed systems with Apache Ignite and GridGain">
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</section>
<section id="apache-ignite-service-grid-foundation-of-your-microservices-based-solution" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite Service Grid: Foundation of Your Microservices-Based Solution
<a href="/events.html#apache-ignite-service-grid-foundation-of-your-microservices-based-solution"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">DeveloperWeek 2018, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">Febuary 07, 2018</span>
<p>
During this session, Denis will provide a step-by-step guide on how to build a
fault-tolerant and scalable microservice-based solution using Apache Ignite's Service Grid and other components to resolve these aforementioned issues.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://developerweeksfbayarea2018.sched.com/event/D6C7/apache-ignite-service-grid-foundation-of-your-microservices-based-solution" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://developerweeksfbayarea2018.sched.com/event/D6C7/apache-ignite-service-grid-foundation-of-your-microservices-based-solution"
data-a2a-title="Apache Ignite Service Grid: Foundation of Your Microservices-Based Solution">
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</section>
<section id="techiteasy-events-245530302" class="page-section news-section">
<div><h3 style="display:inline-block;">Meet Apache Ignite In-Memory Computing Platform
<a href="/events.html#techiteasy-events-245530302"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Tech it Easy- Tokyo, Speaker - Roman Shtykh</span><br/><br/>
<span class="news-date">Febuary 01, 2018</span>
<p>
In this talk you will learn about Apache Ignite memory-centric distributed database, caching,
and processing platform. Roman will explain how one can do distributed computing, and use SQL
with horizontal scalability and high availability of NoSQL systems with Apache Ignite.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/techiteasy/events/245530302/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/techiteasy/events/245530302/"
data-a2a-title="Meet Apache Ignite In-Memory Computing Platform">
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</section>
<section id="Los-Angeles-Kubernetes-Meetup-244966244" class="page-section news-section">
<div><h3 style="display:inline-block;">Deploy like a Boss: Using Kubernetes and Apache Ignite!
<a href="/events.html#Los-Angeles-Kubernetes-Meetup-244966244"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Los Angeles Kubernetes Meetup, Dani Traphagen</span><br/><br/>
<span class="news-date">January 31, 2018</span>
<p>
If downtime is not an option for you and your application needs to be extremely low-latency;
what cocktail of open source projects can facilitate this best? Both Kubernetes and Apache Ignite
are Open Source Frameworks that work exceedingly well together to achieve said goals.
By working with containerization Kubernetes helps enable developers to work seamlessly with
new versions of their applications, running them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Los-Angeles-Kubernetes-Meetup/events/244966244/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Los-Angeles-Kubernetes-Meetup/events/244966244/"
data-a2a-title="Deploy like a Boss: Using Kubernetes and Apache Ignite!">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="webinar-ignite-fire-in-your-sql-app" class="page-section news-section">
<div><h3 style="display:inline-block;">Ignite The Fire In Your SQL App
<a href="/events.html#webinar-ignite-fire-in-your-sql-app"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Akmal Chaudhri</span><br/><br/>
<span class="news-date">January 31, 2018</span>
<p>
Apache Ignite is (an in-memory computing platform OR an in-memory distributed data store and compute grid) with full-fledged SQL,
key-value and processing APIs. Many companies have added it as a cache in-between existing SQL databases
and their applications to speed up response times and scale. In other projects they've used it as its own SQL database.
This session will dive into some of the best practices for both types of projects using Apache Ignite.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/ignite-fire-in-your-sql-app" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/ignite-fire-in-your-sql-app"
data-a2a-title="Ignite The Fire In Your SQL App">
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</section>
<section id="BigDataApps-244915185" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT
<a href="/events.html#BigDataApps-244915185"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Big Data Application Meetup, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">January 31, 2018</span>
<p>
This session will show attendees how to build a Fast Data solution that will
receive endless streams from the IoT side and will be capable of processing the streams
in real-time using Apache Ignite's cluster resources.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/BigDataApps/events/244915185/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/BigDataApps/events/244915185/"
data-a2a-title="Apache Spark and Apache Ignite: Where Fast Data Meets the IoT">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="NYC-In-Memory-Computing-Meetup-246047934" class="page-section news-section">
<div><h3 style="display:inline-block;">Building consistent and highly available distributed systems with Apache Ignite and GridGain
<a href="/events.html#NYC-In-Memory-Computing-Meetup-246047934"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">January 25, 2018</span>
<p>
It is well known that there is a tradeoff between data consistency and high availability.
However, there are many applications that require very strong consistency guarantees,
and making such applications highly available can be a significant challenge. In this session,
attendees will be given an overview of Apache Ignite and GridGain capabilities
that allow the delivery of high availability, while not breaking data consistency.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/NYC-In-Memory-Computing-Meetup/events/246047934/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/NYC-In-Memory-Computing-Meetup/events/246047934/"
data-a2a-title="Building consistent and highly available distributed systems with Apache Ignite and GridGain">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="scale-out-and-conquer-architectural-decisions-behind-distributed-in-memory" class="page-section news-section">
<div><h3 style="display:inline-block;">Scale Out and Conquer: Architectural Decisions Behind Distributed In-Memory Systems
<a href="/events.html#scale-out-and-conquer-architectural-decisions-behind-distributed-in-memory"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">January 17, 2018</span>
<p>
Distributed platforms like Apache® Ignite™ rely on a horizontal “scale-out” architecture where you dynamically
add more machines to achieve near-linear, elastic scalability. But how does it really work? What are its limits?
And how can you optimize performance and scalability?
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/scale-out-and-conquer-architectural-decisions-behind-distributed-in-memory" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/scale-out-and-conquer-architectural-decisions-behind-distributed-in-memory"
data-a2a-title="Scale Out and Conquer: Architectural Decisions Behind Distributed In-Memory Systems">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="niketechtalksdec2017" class="page-section news-section">
<div><h3 style="display:inline-block;">Getting Started With Apache Ignite
<a href="/events.html#niketechtalksdec2017"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Nike Teck Talks, Speaker - Dani Traphagen</span><br/><br/>
<span class="news-date">December 14, 2017</span>
<p>
Apache Ignite provides a caching layer between applications and the system of record,
but additionally, it provides a peer to peer architecture for transacting data, performing computations, microservices, streaming, and much more.<br/><br/>
During this session, we will do a deep-dive into the Apache Ignite architecture and discuss
how it is being deployed around the globe. You will walk away knowing why and when to use Apache Ignite in your next data intensive application!
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://niketechtalksdec2017.splashthat.com/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://niketechtalksdec2017.splashthat.com/"
data-a2a-title="Getting Started With Apache Ignite">
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</section>
<section id="Bay-Area-In-Memory-Computing-events-245196260" class="page-section news-section">
<div><h3 style="display:inline-block;">Want extreme performance at scale? Do distributed the RIGHT way!
<a href="/events.html#Bay-Area-In-Memory-Computing-events-245196260"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Bay Area In-Memory Computing Meetup, Speaker - Valentin Kulichenko</span><br/><br/>
<span class="news-date">December 13, 2017</span>
<p>
During this meetup, Valentin Kulichenko will talk about challenges and
pitfalls one may face when architecting and developing a distributed system. Valentin will show how to take advantage
of the affinity collocation concept that is one of the most powerful and usually undervalued technique provided by distributed systems.
He will take Apache Ignite as a database for his experiments covering these moments in particular:<br/><br/>
What is data affinity and why is it important for distributed systems?
What is affinity colocation and how does it help to improve performance?
How does affinity colocation affects execution of distributed computations and distributed SQL queries? And more...
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Bay-Area-In-Memory-Computing/events/245196260/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Bay-Area-In-Memory-Computing/events/245196260/"
data-a2a-title="Want extreme performance at scale? Do distributed the RIGHT way!">
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</section>
<section id="in-memory-computing-essentials-architects-and-developers-part-2" class="page-section news-section">
<div><h3 style="display:inline-block;">In-Memory Computing Essentials for Architects and Developers: Part 2
<a href="/events.html#in-memory-computing-essentials-architects-and-developers-part-2"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">December 13, 2017</span>
<p>
In this webinar, Denis Magda will introduce the fundamental capabilities and components of a distributed,
in-memory computing platform. With increasingly advanced coding examples, you’ll learn about:
</p>
<ul class="page-list">
<li>Collocated processing</li>
<li>Collocated processing for distributed computations</li>
<li>Collocated processing for SQL (distributed joins and more)</li>
<li>Distributed persistence usage</li>
</ul>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/in-memory-computing-essentials-architects-and-developers-part-2" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/in-memory-computing-essentials-architects-and-developers-part-2"
data-a2a-title="In-Memory Computing Essentials for Architects and Developers: Part 2">
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</section>
<section id="Moscow-Apache-Ignite-Meetup-events-245332076" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite Use Cases for Banks and Telecoms
<a href="/events.html#Moscow-Apache-Ignite-Meetup-events-245332076"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Moscow Apache Ignite Meetup, Speakers- Mikhail Kuznetzov, Mikhail Khasin, Victor Khoodyakov</span><br/><br/>
<span class="news-date">December 12, 2017</span>
<p>
Welcome to the inaugural gathering of the Moscow Apache® Ignite™ Meetup! Our guest experts - Mikhail Kuznetzov, Mikhail Khasin, and Victor Khoodyakov will talk about their experiences implementing solutions for a large bank as well as a telecom company, based on Apache Ignite.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Moscow-Apache-Ignite-Meetup/events/245332076/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Moscow-Apache-Ignite-Meetup/events/245332076/"
data-a2a-title="Apache Ignite Use Cases for Banks and Telecoms">
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</section>
<section id="kccncna17-event-D3vE" class="page-section news-section">
<div><h3 style="display:inline-block;">Distributed Database DevOps Dilemmas? Kubernetes to the Rescue
<a href="/events.html#kccncna17-event-D3vE"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">KubeCon + CloudNativeCon North America 2017, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">December 08, 2017</span>
<p>
Distributed databases can make so many things easier for a developer... but not always for DevOps.
OK, almost never for DevOps. Kubernetes has come to the rescue with an easy application orchestration!<br/><br/>
In this talk you will learn how Kubernetes can orchestrate distributed database like Apache Ignite, in particular:
</p>
<ul class="page-list">
<li>Cluster Assembling - database nodes auto-discovery in Kubernetes.</li>
<li>Database Resilience - automated horizontal scalability.</li>
<li>Database Availability - what’s the role of Kubernetes and the database.</li>
<li>Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with durability of disk.</li>
</ul>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://kccncna17.sched.com/event/D3vE" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://kccncna17.sched.com/event/D3vE"
data-a2a-title="Distributed Database DevOps Dilemmas? Kubernetes to the Rescue">
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</section>
<section id="austin-data-meetup-events-245472777" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite: the in-memory hammer in your data science toolkit
<a href="/events.html#austin-data-meetup-events-245472777"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Austin Data Meetup, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">December 07, 2017</span>
<p>
Machine learning is a method of data analysis that automates the building of analytical models.
By using algorithms that iteratively learn from data, computers are able to find hidden insights
without the help of explicit programming. These insights bring tremendous benefits into many different domains.
For business users, in particular, these insights help organizations improve customer experience,
become more competitive, and respond much faster to opportunities or threats. The availability of very
powerful in-memory computing platforms, such as the open-source Apache Ignite (https://ignite.apache.org/),
means that more organizations can benefit from machine learning today.<br/><br/>
In this presentation, Denis will look at some of the main components of Apache Ignite, such as a
distributed database, distributed computations, and machine learning toolkit. Through examples,
attendees will learn how Apache Ignite can be used for data analysis.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/austindata/events/245472777/" target="_blank">Read more</a>
</p>
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</section>
<section id="meeting-challenges-fast-data-in-healthcare-in-memory-technologies" class="page-section news-section">
<div><h3 style="display:inline-block;">Meeting the Challenges of Fast Data in Healthcare with In-Memory Technologies
<a href="/events.html#meeting-challenges-fast-data-in-healthcare-in-memory-technologies"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Akmal Chaudhri</span><br/><br/>
<span class="news-date">December 06, 2017</span>
<p>
In this webinar, Akmal Chaudhri will discuss the requirements for fast data in healthcare and specifically
how Apache Ignite, a distributed in-memory computing platform, is used by drug discovery companies to identify potential therapies for complex diseases.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/meeting-challenges-fast-data-in-healthcare-in-memory-technologies" target="_blank">Read more</a>
</p>
</div>
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</section>
<section id="implementing-durable-memory-centric-architectures-in-large-financial" class="page-section news-section">
<div><h3 style="display:inline-block;">Implementing Durable Memory-Centric Architectures in Large Financial <br/>Institutions
<a href="/events.html#implementing-durable-memory-centric-architectures-in-large-financial"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Dmitriy Setrakyan</span><br/><br/>
<span class="news-date">November 29, 2017</span>
<p>
In this 1-hour webinar, GridGain Systems Chief Product Officer Dmitriy Setrakyan will present
how distributed memory-centric architectures can be applied to various financial systems.<br/><br/>
Dmitriy will first go over some Apache® Ignite™ features important for financial use cases, including ACID compliance,
SQL compatibility, persistence, replication, security, fault tolerance and more. He will next analyze one of the largest
Apache Ignite deployments in the world at Sberbank, a Russian and eastern European bank. He’ll walk through its overall
architecture and demonstrate the 5 major challenges that Sberbank ran into when integrating distributed,
horizontally scalable memory-centric database at their bank.
</p>
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<p>
<a href="https://www.gridgain.com/resources/webinars/implementing-durable-memory-centric-architectures-in-large-financial" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="Implementing Durable Memory-Centric Architectures in Large Financial Institutions">
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</section>
<section id="in-memory-computing-essentials-architects-and-developers-part-1" class="page-section news-section">
<div><h3 style="display:inline-block;">In-Memory Computing Essentials for Architects and Developers: Part 1
<a href="/events.html#in-memory-computing-essentials-architects-and-developers-part-1"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">November 21, 2017</span>
<p>
In this webinar, Denis Magda will introduce the fundamental capabilities and components of an in-memory computing platform, and
demonstrate how to apply the theory in practice. With increasingly advanced coding examples, you’ll learn about:
</p>
<ul class="page-list">
<li>Cluster configuration and deployment</li>
<li>Data processing with key-value APIs</li>
<li>Data processing with SQL</li>
</ul>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/in-memory-computing-essentials-architects-and-developers-part-1" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="In-Memory Computing Essentials for Architects and Developers: Part 1">
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</section>
<section id="datariders-events-243704486" class="page-section news-section">
<div><h3 style="display:inline-block;">Hands-on Workshop: In-Memory Computing Essentials for Java Developers
<a href="/events.html#datariders-events-243704486"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Big Data and Cloud Meetup, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">November 16, 2017</span>
<p>
Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost
high-load applications and services, and bring existing IT architecture to the next level by storing
and processing a massive amount of data both in RAM and, optionally, on disk.<br/><br/>
The capabilities and benefits of such platforms will be demonstrated with the usage of Apache Ignite,
which is the in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/preview/datariders/events/243704486" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="Hands-on Workshop: In-Memory Computing Essentials for Java Developers">
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</section>
<section id="devoxx-Apache_Spark_and_Apache_Ignite:_Where_Fast_Data_Meets_the_IoT" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT
<a href="/events.html#devoxx-Apache_Spark_and_Apache_Ignite:_Where_Fast_Data_Meets_the_IoT"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Devoxx Morocco, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">November 16, 2017</span>
<p>
It is not enough to build a mesh of sensors or embedded devices to obtain more insights about the surrounding environment and
optimize your production systems. Usually, your IoT solution needs to be capable of transferring enormous amounts of data to
storage or the cloud where the data have to be processed further. Quite often, the processing of the endless streams of data has
to be done in real-time so that you can react on the IoT subsystem's state accordingly.<br/><br/>
This session will show attendees how to build a Fast Data solution that will receive endless streams from the
IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular, attendees will learn
about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://cfp.devoxx.ma/2017/talk/RYX-3007/Apache_Spark_and_Apache_Ignite:_Where_Fast_Data_Meets_the_IoT" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://cfp.devoxx.ma/2017/talk/RYX-3007/Apache_Spark_and_Apache_Ignite:_Where_Fast_Data_Meets_the_IoT"
data-a2a-title="Apache Spark and Apache Ignite: Where Fast Data Meets the IoT">
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</section>
<section id="devoxx-How_to_build_an_event-driven_dynamically_re-configurable_micro-services_platform" class="page-section news-section">
<div><h3 style="display:inline-block;">How to build an event-driven, dynamically re-configurable micro-services platform
<a href="/events.html#How_to_build_an_event-driven_dynamically_re-configurable_micro-services_platform"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Devoxx Belgium, Speaker - Sven Beauprez</span><br/><br/>
<span class="news-date">November 10, 2017</span>
<p>
Why only look at Apache Kafka to build event-driven microservices when there is also Apache Ignite, which brings far more to the table?
</p>
<p>
In this presentation, Sven will show you how to combine Apache Ignite with Docker to not only build an event-driven microservice platform but also to make this dynamically re-configurable without any downtime at all.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://cfp.devoxx.be/2017/talk/YPK-6082/How_to_build_an_event-driven_dynamically_re-configurable_micro-services_platform" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://cfp.devoxx.be/2017/talk/YPK-6082/How_to_build_an_event-driven_dynamically_re-configurable_micro-services_platform"
data-a2a-title="How to build an event-driven, dynamically re-configurable micro-services platform">
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<p style="margin:0;">&nbsp;</p>
</section>
<section id="odsc-apache-ignite-memory-hammer-data-science-toolkit-2" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite: The In-Memory Hammer In Your Data Science Toolkit&nbsp;
<a href="/events.html#odsc-apache-ignite-memory-hammer-data-science-toolkit-2"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">ODSC San Francisco, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">November 3, 2017</span>
<p>
Machine learning is a method of data analysis that automates the building of analytical models.
By using algorithms that iteratively learn from data, computers are able to find hidden insights without
the help of explicit programming. These insights bring tremendous benefits into many different domains.
For business users, in particular, these insights help organizations improve customer experience, become more competitive,
and respond much faster to opportunities or threats. The availability of very powerful in-memory computing platforms,
such as Apache Ignite, means that more organizations can benefit from machine learning today.<br/><br/>
In this presentation Denis will look at some of the main components of Apache Ignite, such as the Compute Grid,
Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for data analysis.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://odsc.com/training/portfolio/apache-ignite-memory-hammer-data-science-toolkit-2" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://odsc.com/training/portfolio/apache-ignite-memory-hammer-data-science-toolkit-2"
data-a2a-title="Apache Ignite: The In-Memory Hammer In Your Data Science Toolkit">
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</section>
<section id="sydney-ibm-bluemix-meetup-group" class="page-section news-section">
<div><h3 style="display:inline-block;">Fast Data meets Big Data in the IoT- Using Apache Ignite&nbsp;
<a href="/events.html#sydney-ibm-bluemix-meetup-group"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Sydney IBM Bluemix Meetup Group, Speaker - Rachel Pedreschi</span><br/><br/>
<span class="news-date">November 2, 2017</span>
<p>
So, you've built yourself a killer IoT application. You have connected all the things and they are all happily sending
over their packets of data faster than you can say "Big Blue". Now what? How do you architect a server architecture
that can support all the data flowing in and also be able to grow for the future?<br/><br/>
In this talk, Rachel will cover some of the architectural decisions you need to consider when choosing a data platform and discuss
how Apache Ignite can meet those requirements. Rachel will also cover other design options like NoSQL and Spark and how to deploy in the IBM cloud.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/company/news/events/sydney-ibm-bluemix-meetup-group" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="Fast Data meets Big Data in the IoT- Using Apache Ignite">
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</section>
<section id="Bay-Area-In-Memory-Computing-243868747" class="page-section news-section">
<div><h3 style="display:inline-block;">Achieving High Availability and Consistency With Distributed Systems&nbsp;
<a href="/events.html#Bay-Area-In-Memory-Computing-243868747"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Bay Area Apache® Ignite™ Meetup, Speakers - Denis Magda, Valetin Kulichenko</span><br/><br/>
<span class="news-date">November 2, 2017</span>
<p>
Tech talk No. 1 - Val kicks off the learning with a session titled, "Building Consistent and Highly Available Distributed Systems with Apache Ignite and GridGain."
</p>
<p>
Tech talk No. 2 - Denis continues the knowledge sharing with a session titled, "Harnessing the 21st Century with a Distributed Memory-Centric SQL."
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Bay-Area-In-Memory-Computing/events/243868747/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="Achieving High Availability and Consistency With Distributed Systems">
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</section>
<section id="Dublin-Spark-Meetup-events-243875410" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT&nbsp;
<a href="/events.html#Dublin-Spark-Meetup-events-243875410"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Dublin Spark Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">October 26, 2017</span>
<p>
In this session, Akmal will show attendees how to build a Fast Data solution that will receive endless streams from the
IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular,
attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Dublin-Spark-Meetup/events/243875410/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="Apache Spark and Apache Ignite: Where Fast Data Meets the IoT">
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</section>
<section id="spark-summit-eu-2017-how-to-share-state" class="page-section news-section">
<div><h3 style="display:inline-block;">How to Share State Across Multiple Spark Jobs using Apache® Ignite™&nbsp;
<a href="/events.html#spark-summit-eu-2017-how-to-share-state"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Spark Summit Europe 2017, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">October 25, 2017</span>
<p>
Attend this session to learn how to easily share state in-memory across multiple Spark jobs, either
within the same application or between different Spark applications using an implementation of the Spark RDD
abstraction provided in Apache Ignite. During the talk, attendees will learn in detail how IgniteRDD –
an implementation of native Spark RDD and DataFrame APIs – shares the state of the RDD across other Spark jobs,
applications and workers. Examples will show how IgniteRDD, with its advanced in-memory indexing capabilities,
allows execution of SQL queries many times faster than native Spark RDDs or Data Frames.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://spark-summit.org/eu-2017/events/how-to-share-state-across-multiple-apache-spark-jobs-using-apache-ignite/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://spark-summit.org/eu-2017/events/how-to-share-state-across-multiple-apache-spark-jobs-using-apache-ignite/"
data-a2a-title="How to Share State Across Multiple Spark Jobs using Apache® Ignite™">
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</section>
<section id="imc-summit-2017" class="page-section news-section">
<div><h3 style="display:inline-block;">The In-Memory Computing Summit 2017 – North America&nbsp;
<a href="/events.html#imc-summit-2017"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">South San Francisco Conference Center</span><br/><br/>
<span class="news-date">October 24-25, 2017</span>
<p>
There will be several highly technical talks about Apache Ignite at the 3rd-annual In-Memory Computing Summit
Oct. 24-25 at the South San Francisco Conference Center. The IMC Summit is the only industry-wide event that focuses
on the full range of in-memory computing-related technologies and solutions held in North America.
</p>
<p>Check out the agenda here: <a href="https://www.imcsummit.org/us/agenda/schedule/day-1">https://www.imcsummit.org/us/agenda/schedule/day-1</a></p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.imcsummit.org/us/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.imcsummit.org/us/"
data-a2a-title="The In-Memory Computing Summit 2017 – North America">
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<section id="Eurostaff-Big-Data-243650721" class="page-section news-section">
<div><h3 style="display:inline-block;">Better Machine Learning with Apache® Ignite™&nbsp;
<a href="/events.html#Eurostaff-Big-Data-243650721"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Eurostaff Big Data Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">October 19, 2017</span>
<p>
The availability of very powerful in-memory computing platforms, such as Apache® Ignite™, means that more organizations can benefit
from machine learning today. In this presentation, Akmal will discuss how the Compute Grid, Data Grid, and Machine Learning Grid
components of Apache Ignite work together to enable your business to start reaping the benefits of machine learning.
</p>
<p>
Through examples, attendees will learn how Apache Ignite can be used for data analysis and be the in-memory hammer in your machine learning toolkit.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Eurostaff-Big-Data/events/243650721/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="Better Machine Learning with Apache® Ignite™">
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</section>
<section id="sv-jug-events-242946746" class="page-section news-section">
<div><h3 style="display:inline-block;">Catch an intro to Apache Ignite and skyrocket Java applications&nbsp;
<a href="/events.html#sv-jug-events-242946746"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Java User Group Meetup, Speaker - Valentin Kulichenko</span><br/><br/>
<span class="news-date">October 18, 2017</span>
<p>
Join Valentin (Val) Kulichenko as he introduces the many components of the open-source Apache Ignite.
You, as a Java professional, will learn how to solve some of the most demanding scalability and performance challenges.
He will also cover a few typical use cases and work through some code examples.
Hope to see you there so you can leave ready to fire up your database deployments!
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/preview/sv-jug/events/242946746" target="_blank">Read more</a>
</p>
</div>
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data-a2a-title="Catch an intro to Apache Ignite and skyrocket Java applications">
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</section>
<section id="apacher-sparktm-and-apacher-ignitetm-where-fast-data-meets-iot" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache® Spark™ and Apache® Ignite™: Where Fast Data Meets the IoT&nbsp;
<a href="/events.html#apacher-sparktm-and-apacher-ignitetm-where-fast-data-meets-iot"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">October 18, 2017</span>
<p>
During this 1-hour webinar, Denis Magda will discuss a Fast Data solution that can receive endless streams
from the Internet of Things (IoT) and be capable of processing the streams in real-time using Apache Ignite’s cluster resources.
You will also learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache® Spark™.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/apacher-sparktm-and-apacher-ignitetm-where-fast-data-meets-iot" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/apacher-sparktm-and-apacher-ignitetm-where-fast-data-meets-iot"
data-a2a-title="Apache® Spark™ and Apache® Ignite™: Where Fast Data Meets the IoT">
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</section>
<section id="odsc-europe-2017-apache-ignite-memory-hammer-data-science-toolkit" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite™: The In-Memory Hammer in Your Data Science Toolkit&nbsp;
<a href="/events.html#odsc-europe-2017-apache-ignite-memory-hammer-data-science-toolkit"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">ODSC Europe 2017, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">October 14, 2017</span>
<p>
In this presentation, Akmal will show some of the main components of Apache Ignite™,
such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples,
attendees will learn how Apache Ignite can be used for data analysis.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://odsc.com/training/portfolio/apache-ignite-memory-hammer-data-science-toolkit" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://odsc.com/training/portfolio/apache-ignite-memory-hammer-data-science-toolkit"
data-a2a-title="Apache Ignite™: The In-Memory Hammer in Your Data Science Toolkit">
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</section>
<section id="london-bigdataweek-powering-banks-financial-institutions-distributed-systems" class="page-section news-section">
<div><h3 style="display:inline-block;">Powering up banks and financial institutions with distributed systems&nbsp;
<a href="/events.html#london-bigdataweek-powering-banks-financial-institutions-distributed-systems"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Big Data Week London 2017, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">October 13, 2017</span>
<p>
In this presentation, attendees will learn about important Apache Ignite features for financial applications,
such as ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more.
</p>
<p>
A customer case study will also be presented. We will analyze one of the largest Apache Ignite deployments in the world at Sberbank,
a Russian and Eastern European Bank, by walking through the overall architecture and demonstrating various implementation and deployment challenges.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="http://london.bigdataweek.com/session/powering-banks-financial-institutions-distributed-systems/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="http://london.bigdataweek.com/session/powering-banks-financial-institutions-distributed-systems/"
data-a2a-title="Powering up banks and financial institutions with distributed systems">
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</section>
<section id="dataplatform-jp" class="page-section news-section">
<div><h3 style="display:inline-block;">Real-time Data Analysis with Apache Ignite High-Performance In-memory Platform&nbsp;
<a href="/events.html#dataplatform-jp"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Data Platform Conference Tokyo 2017, Speaker - Roman Shtykh</span><br/><br/>
<span class="news-date">October 10, 2017</span>
<p>
With the advances in IoT technology, the volume and the diversity of data to be analyzed has enormously increased,
and processing it with traditional disk-based technology has become more challenging. Therefore the number of data
analysis solutions using in-memory technology, such as Apache Ignite high-performance in-memory platform, has increased.
</p>
<p>
In this session, Roman will introduce Apache Ignite, and explain how it can be used for real-time analysis of large volumes of IoT data.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="http://dataplatform.jp/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="http://dataplatform.jp/"
data-a2a-title="Real-time Data Analysis with Apache Ignite High-Performance In-memory Platform">
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</section>
<section id="webinar-postgres-apacher-ignitetm" class="page-section news-section">
<div><h3 style="display:inline-block;">Postgres with Apache® Ignite™: Faster Transactions and Analytics&nbsp;
<a href="/events.html#webinar-postgres-apacher-ignitetm"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Fotios Filacouris</span><br/><br/>
<span class="news-date">October 4, 2017</span>
<p>
Join Fotios Filacouris as he discusses how you can supplement PostgreSQL with Apache Ignite. You'll learn:
</p>
<ul class="page-list">
<li>The strategic benefits of using Apache Ignite instead of Memcache, Redis®, GigaSpaces®, or Oracle Coherence™</li>
<li>How to overcome the limitations of the PostgreSQL architecture for big data analytics by leveraging the parallel distributed computing and ANSI SQL-99 capabilities of Apache Ignite</li>
<li>How to use Apache Ignite as an advanced high-performance cache platform for hot data</li>
</ul>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/postgres-apacher-ignitetm-faster-transactions-and-analytics" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/postgres-apacher-ignitetm-faster-transactions-and-analytics"
data-a2a-title="Postgres with Apache® Ignite™: Faster Transactions and Analytics">
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</section>
<section id="Paris-Spark-Meetup-243673170" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT&nbsp;
<a href="/events.html#Paris-Spark-Meetup-243673170"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Paris Spark Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">October 3, 2017</span>
<p>
In this session, Akmal will show attendees how to build a Fast Data solution that will receive endless streams from the
IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources. In particular,
attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/Paris-Spark-Meetup/events/243673170/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/Paris-Spark-Meetup/events/243673170/"
data-a2a-title="Apache Spark and Apache Ignite: Where Fast Data Meets the IoT">
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</section>
<section id="Big-Data-Developers-in-Paris-243327509" class="page-section news-section">
<div><h3 style="display:inline-block;">Giving a boost to the Hadoop and Spark ecosystems with in-memory technologies&nbsp;
<a href="/events.html#Big-Data-Developers-in-Paris-243327509"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Big Data & Data Science, Paris, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">October 2, 2017</span>
<p>
In this talk, Akmal present how to speed up existing Hadoop and Spark deployments by making Apache Ignite responsible for RAM utilization.
No code modifications, no new architecture from scratch! Specifically, this presentation will cover :
Hadoop Accelerator, HDFS compliant In-Memory File System, MapReduce Accelerator, Spark Shared RDDs, Spark SQL boost.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/preview/Big-Data-Developers-in-Paris/events/243327509" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/preview/Big-Data-Developers-in-Paris/events/243327509"
data-a2a-title="Giving a boost to the Hadoop and Spark ecosystems with in-memory technologies">
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</section>
<section id="New-York-Kubernetes-Meetup-242597746" class="page-section news-section">
<div><h3 style="display:inline-block;">Stateful Apps in Production and Distributed Database Orchestration&nbsp;
<a href="/events.html#New-York-Kubernetes-Meetup-242597746"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">New York Kubernetes Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">September 27, 2017</span>
<p>
This talk will focus on a DevOps perspective on the orchestration of distributed databases, Apache Ignite.
Denis will speak on node auto-discovery, automated horizontal scalability, availability and utilization of RAM and disk with Apache Ignite.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/New-York-Kubernetes-Meetup/events/242597746/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/New-York-Kubernetes-Meetup/events/242597746/"
data-a2a-title="Stateful Apps in Production and Distributed Database Orchestration">
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</section>
<section id="better-machine-learning-apacher-ignitetm" class="page-section news-section">
<div><h3 style="display:inline-block;">Better Machine Learning with Apache® Ignite™&nbsp;
<a href="/events.html#better-machine-learning-apacher-ignitetm"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Webinar, Akmal Chaudhri</span><br/><br/>
<span class="news-date">September 27, 2017</span>
<p>
In this presentation, Akmal will discuss how the Compute Grid, Data Grid, and Machine Learning Grid components of Apache Ignite work together
to enable your business to start reaping the benefits of machine learning. Through examples, attendees will learn how Apache Ignite
can be used for data analysis and be the in-memory hammer in your machine learning toolkit.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/resources/webinars/better-machine-learning-apacher-ignitetm" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/resources/webinars/better-machine-learning-apacher-ignitetm"
data-a2a-title="Better Machine Learning with Apache® Ignite™">
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</section>
<section id="NYC-In-Memory-Computing-Meetup-243150945" class="page-section news-section">
<div><h3 style="display:inline-block;">Powering up banks and financial institutions with distributed systems&nbsp;
<a href="/events.html#NYC-In-Memory-Computing-Meetup-243150945"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">September 26, 2017</span>
<p>
In this talk, Akmal will start with a brief high-level overview of distributed computing fundamentals and in-memory computing use cases.
Then he'll introduce the open-source Apache Ignite, an in-memory computing platform that enables high-performance transactions,
real-time streaming, and fast analytics in a single, comprehensive data access and processing layer.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/NYC-In-Memory-Computing-Meetup/events/243150945/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/NYC-In-Memory-Computing-Meetup/events/243150945/"
data-a2a-title="Powering up banks and financial institutions with distributed systems">
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</section>
<section id="internet-things-iot-new-york-meetup" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT&nbsp;
<a href="/events.html#NYC-In-Memory-Computing-Meetup-243150945"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Internet of Things (IoT) New York Meetup, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">September 25, 2017</span>
<p>
Quite often, the processing of the endless streams of data has to be done in real-time so that you can react on the IoT subsystem's state accordingly.
In this session, Akmal will show attendees how to build a Fast Data solution that will receive endless streams from the IoT
side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.gridgain.com/company/news/events/internet-things-iot-new-york-meetup" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.gridgain.com/company/news/events/internet-things-iot-new-york-meetup"
data-a2a-title="Apache Spark and Apache Ignite: Where Fast Data Meets the IoT">
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</section>
<section id="SF-Spark-and-Friends-242935496" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark, Apache Flink, and Apache Ignite: Where Fast Data Meets the IoT&nbsp;
<a href="/events.html#SF-Spark-and-Friends-242935496"><i class="fa fa-anchor"></i></a>
</h3></div>
<span class="news-date">Meetup, San Francisco, CA, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">September 20, 2017</span>
<p>
This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and
will be capable of processing the streams in real-time using Apache Ignite's cluster resources.
</p>
<p>
In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded
devices and real-time data processing with Apache Flink.
</p>
<div class="col-sm-12 col-md-9 col-xs-12 news-readmore">
<p>
<a href="https://www.meetup.com/SF-Spark-and-Friends/events/242935496/" target="_blank">Read more</a>
</p>
</div>
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data-a2a-url="https://www.meetup.com/SF-Spark-and-Friends/events/242935496/"
data-a2a-title="Apache Spark, Apache Flink, and Apache Ignite: Where Fast Data Meets the IoT">
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<section id="Cambridge-NET-User-Group-238837204" class="page-section news-section">
<div><h3 style="display:inline-block;">Business Intelligence and Apache Ignite for .NET Users&nbsp;
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</h3></div>
<span class="news-date">Meetup, Cambridge .NET User Group, Speaker - Akmal Chaudhri</span><br/><br/>
<span class="news-date">September 18, 2017</span>
<p>
This presentation will provide a deep dive into .NET features of the top level Apache projects: Apache Ignite.
Apache Ignite is the memory-centric platform that combines distributed SQL database and key-value data grid,
that is ACID compliant, horizontally scalable and highly available, and empowered with compute and machine learning capabilities.
</p>
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<p>
<a href="https://www.meetup.com/Cambridge-NET-User-Group/events/238837204/" target="_blank">Read more</a>
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<section id="SF-Big-Analytics-242368299" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Ignite: The in-memory hammer in your data science toolkit&nbsp;
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</h3></div>
<span class="news-date">Meetup, Mountain View, CA, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">September 13, 2017</span>
<p>
In this talk, Denis will go through some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid.
Through examples, attendees will learn how Apache Ignite can be used for big data analysis.
</p>
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<p>
<a href="https://www.meetup.com/SF-Big-Analytics/events/242368299/" target="_blank">Read more</a>
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<section id="webinar-5573556767611108099" class="page-section news-section">
<div><h3 style="display:inline-block;">Implementing In-Memory Computing for Financial Services Use Cases with Apache® Ignite™&nbsp;
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</h3></div>
<span class="news-date">Webinar, Denis Magda</span><br/><br/>
<span class="news-date">September 12, 2017</span>
<p>
In this presentation, Denis will explain features of the Apache Ignite distributed computing platform that are important for financial use cases, including:
</p>
<ul class="page-list">
<li>ACID transaction guarantees</li>
<li>Distributed ANSI-99 SQL support</li>
<li>Replication</li>
<li>Security</li>
<li>Fault tolerance</li>
<li>Persistence</li>
</ul>
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<p>
<a href="https://register.gotowebinar.com/register/5573556767611108099" target="_blank">Read more</a>
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data-a2a-title="Implementing In-Memory Computing for Financial Services Use Cases with Apache® Ignite™">
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<section id="big-data-and-cloud-meetup-santa-clara-242523245" class="page-section news-section">
<div><h3 style="display:inline-block;">Apache Spark and Apache Ignite: Where Fast Data Meets the IoT&nbsp;
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</h3></div>
<span class="news-date">Meetup, Santa Clara, CA, Speaker - Denis Magda</span><br/><br/>
<span class="news-date">September 09, 2017</span>
<p>
In his talk, Denis will will show attendees how to build a sast Data solution that will receive endless streams from
the IoT side and will be capable of processing the streams in real-time using the cluster resources of Apache Ignite.
</p>
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<a href="https://www.meetup.com/datariders/events/242523245/" target="_blank">Read more</a>
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</section>
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<div><h3