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| <h2><a href="/blog">Apache Kudu Blog</a></h2> |
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| <h1 class="entry-title"><a href="/2019/03/05/transparent-hierarchical-storage-management-with-apache-kudu-and-impala.html">Transparent Hierarchical Storage Management with Apache Kudu and Impala</a></h1> |
| <p class="meta">Posted 05 Mar 2019 by Grant Henke</p> |
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| <div class="entry-content"> |
| |
| <p>Note: This is a cross-post from the Cloudera Engineering Blog |
| <a href="https://blog.cloudera.com/blog/2019/03/transparent-hierarchical-storage-management-with-apache-kudu-and-impala/">Transparent Hierarchical Storage Management with Apache Kudu and Impala</a></p> |
| |
| <p>When picking a storage option for an application it is common to pick a single |
| storage option which has the most applicable features to your use case. For mutability |
| and real-time analytics workloads you may want to use Apache Kudu, but for massive |
| scalability at a low cost you may want to use HDFS. For that reason, there is a need |
| for a solution that allows you to leverage the best features of multiple storage |
| options. This post describes the sliding window pattern using Apache Impala with data |
| stored in Apache Kudu and Apache HDFS. With this pattern you get all of the benefits |
| of multiple storage layers in a way that is transparent to users.</p> |
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| <p class="meta">Posted 11 Dec 2018 by Attila Bukor</p> |
| </header> |
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| |
| <p>Most of the posts in the Kudu blog have been written by the project’s |
| committers and are either technical or news-like in nature. We’d like to hear |
| how you’re using Kudu in production, in testing, or in your hobby project and |
| we’d like to share it with the world!</p> |
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| <h1 class="entry-title"><a href="/2018/10/26/apache-kudu-1-8-0-released.html">Apache Kudu 1.8.0 Released</a></h1> |
| <p class="meta">Posted 26 Oct 2018 by Attila Bukor</p> |
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| |
| <p>The Apache Kudu team is happy to announce the release of Kudu 1.8.0!</p> |
| |
| <p>The new release adds several new features and improvements, including the |
| following:</p> |
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| <h1 class="entry-title"><a href="/2018/09/26/index-skip-scan-optimization-in-kudu.html">Index Skip Scan Optimization in Kudu</a></h1> |
| <p class="meta">Posted 26 Sep 2018 by Anupama Gupta</p> |
| </header> |
| <div class="entry-content"> |
| |
| <p>This summer I got the opportunity to intern with the Apache Kudu team at Cloudera. |
| My project was to optimize the Kudu scan path by implementing a technique called |
| index skip scan (a.k.a. scan-to-seek, see section 4.1 in [1]). I wanted to share |
| my experience and the progress we’ve made so far on the approach.</p> |
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| <h1 class="entry-title"><a href="/2018/09/11/simplified-pipelines-with-kudu.html">Simplified Data Pipelines with Kudu</a></h1> |
| <p class="meta">Posted 11 Sep 2018 by Mac Noland</p> |
| </header> |
| <div class="entry-content"> |
| |
| <p>I’ve been working with Hadoop now for over seven years and fortunately, or unfortunately, have run |
| across a lot of structured data use cases. What we, at <a href="https://phdata.io/">phData</a>, have found is |
| that end users are typically comfortable with tabular data and prefer to access their data in a |
| structured manner using tables.</p> |
| |
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| <div class="col-lg-3 recent-posts"> |
| <h3>Recent posts</h3> |
| <ul> |
| |
| <li> <a href="/2022/06/17/apache-kudu-1-16-0-released.html">Apache Kudu 1.16.0 Released</a> </li> |
| |
| <li> <a href="/2021/06/22/apache-kudu-1-15-0-released.html">Apache Kudu 1.15.0 Released</a> </li> |
| |
| <li> <a href="/2021/01/28/apache-kudu-1-14-0-release.html">Apache Kudu 1.14.0 Released</a> </li> |
| |
| <li> <a href="/2021/01/15/bloom-filter-predicate.html">Optimized joins & filtering with Bloom filter predicate in Kudu</a> </li> |
| |
| <li> <a href="/2020/09/21/apache-kudu-1-13-0-release.html">Apache Kudu 1.13.0 released</a> </li> |
| |
| <li> <a href="/2020/08/11/fine-grained-authz-ranger.html">Fine-Grained Authorization with Apache Kudu and Apache Ranger</a> </li> |
| |
| <li> <a href="/2020/07/30/building-near-real-time-big-data-lake.html">Building Near Real-time Big Data Lake</a> </li> |
| |
| <li> <a href="/2020/05/18/apache-kudu-1-12-0-release.html">Apache Kudu 1.12.0 released</a> </li> |
| |
| <li> <a href="/2019/11/20/apache-kudu-1-11-1-release.html">Apache Kudu 1.11.1 released</a> </li> |
| |
| <li> <a href="/2019/11/20/apache-kudu-1-10-1-release.html">Apache Kudu 1.10.1 released</a> </li> |
| |
| <li> <a href="/2019/07/09/apache-kudu-1-10-0-release.html">Apache Kudu 1.10.0 Released</a> </li> |
| |
| <li> <a href="/2019/04/30/location-awareness.html">Location Awareness in Kudu</a> </li> |
| |
| <li> <a href="/2019/04/22/fine-grained-authorization-with-apache-kudu-and-impala.html">Fine-Grained Authorization with Apache Kudu and Impala</a> </li> |
| |
| <li> <a href="/2019/03/19/testing-apache-kudu-applications-on-the-jvm.html">Testing Apache Kudu Applications on the JVM</a> </li> |
| |
| <li> <a href="/2019/03/15/apache-kudu-1-9-0-release.html">Apache Kudu 1.9.0 Released</a> </li> |
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