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Autobuild (#167)
* Autobuild

* restore files
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vogievetsky committed Apr 8, 2022
1 parent b69a4a6 commit 68581ba86c9c50fb2e6786fe5af3d0f8ec7f61c0
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@@ -142,7 +142,7 @@ <h2 id="community">Community</h2>
section below for details on our development process.</li>
<li><strong>Meetups:</strong> Check out <a href="https://www.meetup.com/topics/apache-druid/">Apache Druid on meetup.com</a> for links to regular
meetups in cities all over the world.</li>
<li><strong>Slack:</strong> Many users and committers are present on Apache Druid Slack. Use this link to join and invite others: <a href="/community/join-slack">https://druid.apache.org/community/join-slack</a></li>
<li><strong>Slack:</strong> Many users and committers are present on Apache Druid Slack. Use this link to join and invite others: <a href="/community/join-slack?v=1">https://druid.apache.org/community/join-slack</a></li>
<li><strong>Twitter:</strong> Follow us on Twitter at <a href="https://twitter.com/druidio">@druidio</a>.</li>
<li><strong>StackOverflow:</strong> While the user mailing list is the primary resource for asking questions, if you prefer
StackOverflow, make sure to tag your question with <code>druid</code> or <code>apache-druid</code>.</li>
@@ -347,6 +347,24 @@ <h3>
Featured Content
</h3>

<p>
<a href="https://blog.hellmar-becker.de/2022/03/20/druid-data-cookbook-quantiles-in-druid-with-datasketches/">
<span class="title">Druid Data Cookbook: Quantiles in Druid with Data Sketches</span><br>
<span class="text-muted">Hellmar Becker - </span>
<span class="text-muted">Imply</span><br>
<span class="text-muted">Mar 20 2022</span>
</a>
</p>

<p>
<a href="https://blog.hellmar-becker.de/2022/02/09/druid-data-cookbook-ingestion-transforms/">
<span class="title">Druid Data Cookbook: Ingestion Transforms</span><br>
<span class="text-muted">Hellmar Becker - </span>
<span class="text-muted">Imply</span><br>
<span class="text-muted">Feb 9 2022</span>
</a>
</p>

<p>
<a href="https://imply.io/blog/multi-dimensional-range-partitioning/">
<span class="title">Multi-dimensional range partitioning</span><br>
@@ -374,24 +392,6 @@ <h3>
</a>
</p>

<p>
<a href="https://www.rilldata.com/blog/setting-up-apache-druid-on-kubernetes-part-one">
<span class="title">Setting up Apache Druid on Kubernetes in under 30 minutes</span><br>
<span class="text-muted">Adheip Singh - </span>
<span class="text-muted">Rill Data</span><br>
<span class="text-muted">Oct 1 2021</span>
</a>
</p>

<p>
<a href="https://blog.hellmar-becker.de/2021/09/25/multivalue-dimensions-in-apache-druid-part-3/">
<span class="title">Multi-Value Dimensions in Apache Druid (Part 3)</span><br>
<span class="text-muted">Hellmar Becker - </span>
<span class="text-muted">Imply</span><br>
<span class="text-muted">Sep 25 2021</span>
</a>
</p>

</div>
<div class="bottom-news">
<link rel="stylesheet" href="/css/news-list.css">
@@ -160,7 +160,7 @@ <h5>Streaming and batch ingest</h5>
<span class="fa fa-stream fa"></span>
<h5>Flexible schemas</h5>
<p>
Druid gracefully handles evolving schemas and <a href="/docs/latest/ingestion/flatten-json">nested data</a>.
Druid gracefully handles evolving schemas and <a href="/docs/latest/ingestion/data-formats.html#flattenspec">nested data</a>.
</p>
</div>
<div class="feature">

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