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                     <h2 class="section-heading">Apache Quarks (incubating)</h2>
                     <div class="lead">Apache Quarks is a programming model and micro-kernel style runtime that can be embedded in gateways and small footprint edge devices enabling local, real-time, analytics on the continuous streams of data coming from equipment, vehicles, systems, appliances, devices and sensors of all kinds (for example, Raspberry Pis or smart phones). Working in conjunction with centralized analytic systems, Apache Quarks provides efficient and timely analytics across the whole IoT ecosystem: from the center to the edge.</div>
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                     <h2 ><a href="https://plus.google.com/events/c9i8t4j2mqq7g0d6ftad84c5bd8">Hangout: Apache Quarks on Raspberry Pi</a></h2>
                     <h4 >Thursday, May 12 10am-11am PDT</h3>

                     <div class="lead">In this <a href="https://plus.google.com/events/c9i8t4j2mqq7g0d6ftad84c5bd8">Google+ Hangout</a>, we showed you how you can use Quarks to work with real sensor data on a Raspberry Pi. We also demonstrated an application where we implemented a smart sprinkler system using Apache Quarks, Raspberry Pi, Watson IoT Platform and the Streaming Analytics service.</div>
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                     <h2 ><a href="https://plus.google.com/events/c4v0hjbefda5vcfceffllgncv2k">Hangout: Intro to Apache Quarks</a></h2>
                     <h4 >Wednesday, April 13 10am-12pm PDT</h3>

                     <div class="lead">In this <a href="https://plus.google.com/events/c4v0hjbefda5vcfceffllgncv2k">Google+ Hangout</a>, the committers presented a high-level overview of the Apache Quarks project and demonstrated how you can write, monitor and debug your Quarks application. They also showed you how you can get involved and contribute to the Quarks community. </div>
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                             <h4 class="section-heading text-center">Reduced Communication Costs</h4>
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                             <div class="lead">Quarks performs real-time analytics on the edge device, separating the interesting from the mundane, so you don’t have to send every sensor reading over a network. If 99% of readings are normal, Quarks detects the 1% anomalies and just transmits those for further processing.
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                             <h4 class="section-heading text-center">Local and Faster Time to Action</h4>
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                             <div class="lead">Quarks makes devices more intelligent, enabling them to take immediate action.  For example, a connected vehicle running Quarks can adjust traction control based on the weight of the cargo/passengers.</div>
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                             <h4 class="section-heading text-center">Learning From Related Devices</h4>
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                             <div class="lead">Quarks enables connected devices to learn from related devices. For example, a truck maneuvering roads in Oregon can adjust based on the data received from trucks operating under similar loads and conditions in Colorado; data such as altitude, cargo, weather and traffic conditions.
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                 <p class="text-muted small">Apache Quarks is an effort undergoing Incubation at The Apache Software Foundation (ASF), sponsored by the Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.</p>
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	<div class="lead">Apache Quarks is a programming model and micro-kernel style runtime that can be embedded in gateways and small footprint edge devices enabling local, real-time, analytics on the continuous streams of data coming from equipment, vehicles, systems, appliances, devices and sensors of all kinds (for example, Raspberry Pis or smart phones). Working in conjunction with centralized analytic systems, Apache Quarks provides efficient and timely analytics across the whole IoT ecosystem: from the center to the edge.</div>
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	<h2 ><a href="https://plus.google.com/events/c9i8t4j2mqq7g0d6ftad84c5bd8">Hangout: Apache Quarks on Raspberry Pi</a></h2>
	<h4 >Thursday, May 12 10am-11am PDT</h3>

	<div class="lead">In this <a href="https://plus.google.com/events/c9i8t4j2mqq7g0d6ftad84c5bd8">Google+ Hangout</a>, we showed you how you can use Quarks to work with real sensor data on a Raspberry Pi. We also demonstrated an application where we implemented a smart sprinkler system using Apache Quarks, Raspberry Pi, Watson IoT Platform and the Streaming Analytics service.</div>
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	<h2 ><a href="https://plus.google.com/events/c4v0hjbefda5vcfceffllgncv2k">Hangout: Intro to Apache Quarks</a></h2>
	<h4 >Wednesday, April 13 10am-12pm PDT</h3>

	<div class="lead">In this <a href="https://plus.google.com/events/c4v0hjbefda5vcfceffllgncv2k">Google+ Hangout</a>, the committers presented a high-level overview of the Apache Quarks project and demonstrated how you can write, monitor and debug your Quarks application. They also showed you how you can get involved and contribute to the Quarks community. </div>
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	<h2 class="section-heading">An Open IoT Ecosystem</h2>
	<div class="lead">Apache Quarks is API driven and modular and can be used in conjunction with vendor and open source data and analytics solutions such as Apache Kafka, Apache Spark and Apache Storm.
	</div>
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	<h4 class="section-heading text-center">Reduced Communication Costs</h4>
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	<div class="lead">Quarks performs real-time analytics on the edge device, separating the interesting from the mundane, so you don’t have to send every sensor reading over a network. If 99% of readings are normal, Quarks detects the 1% anomalies and just transmits those for further processing.
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	<h4 class="section-heading text-center">Local and Faster Time to Action</h4>
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	<div class="lead">Quarks makes devices more intelligent, enabling them to take immediate action. For example, a connected vehicle running Quarks can adjust traction control based on the weight of the cargo/passengers.</div>
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	<h4 class="section-heading text-center">Learning From Related Devices</h4>
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	<div class="lead">Quarks enables connected devices to learn from related devices. For example, a truck maneuvering roads in Oregon can adjust based on the data received from trucks operating under similar loads and conditions in Colorado; data such as altitude, cargo, weather and traffic conditions.
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	<p class="text-muted small">Apache Quarks is an effort undergoing Incubation at The Apache Software Foundation (ASF), sponsored by the Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.</p>
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