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        <div class="slide"><a class="various fancybox.iframe" href="https://www.youtube.com/embed/UOmlhExchpk"><img src="{{ site.baseurl }}/images/thumbnail-0rurIzOkTIg.jpg" class="thumbnail" /><img src="{{ site.baseurl }}/images/play-mq.png" class="play" /></a><div class="title">Overview of Apache Drill Query Execution</div></div>
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      <h1 class="main-headline">Apache Drill</h1>
      <h2 id="sub-headline">Schema-free SQL Query Engine <br class="mobile-break" />for Hadoop, NoSQL and <br class="mobile-break" />Cloud Storage</h2>
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          <h1>Agility</h1>
          <p>Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.)</p>
        </td>
        <td class="fl">
          <h1>Flexibility</h1>
          <p>Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data</p>
        </td>
        <td class="fam">
          <h1>Familiarity</h1>
          <p>Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more</p>
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  <div class="description">
    <h1>Query any non-relational datastore (well, almost...)</h1>
    <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
    <p>Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.</p>
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  <div class="description">
    <h1>Kiss the overhead goodbye and enjoy data agility</h1>
    <p>Traditional query engines demand significant IT intervention before data can be queried. Drill gets rid of all that overhead so that users can just query the raw data in-situ. There's no need to load the data, create and maintain schemas, or transform the data before it can be processed. Instead, simply include the path to a Hadoop directory, MongoDB collection or S3 bucket in the SQL query.</p>
    <p>Drill leverages advanced query compilation and re-compilation techniques to maximize performance without requiring up-front schema knowledge.</p>
  </div>
  <div class="small big"><pre>SELECT * FROM <span class="code-underline">dfs.root.`/web/logs`</span>;

SELECT country, count(*)
  FROM <span class="code-underline">mongodb.web.users</span>
  GROUP BY country;

SELECT timestamp
  FROM <span class="code-underline">s3.root.`clicks.json`</span>
  WHERE user_id = 'jdoe';</pre></div>
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    <h1>Treat your data like a table even when it's not</h1>
    <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
    <p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
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  <div class="description">
    <h1>Keep using the BI tools you love</h1>
    <p>Drill supports standard SQL. Business users, analysts and data scientists can use standard BI/analytics tools such as Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel to interact with non-relational datastores by leveraging Drill's JDBC and ODBC drivers. Developers can leverage Drill's simple REST API in their custom applications to create beautiful visualizations.</p>
    <p>Drill's virtual datasets allow even the most complex, non-relational data to be mapped into BI-friendly structures which users can explore and visualize using their tool of choice.</p>
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  <div class="big"><pre>$ curl -L "&lt;url&gt;" | tar xzf -
$ cd apache-drill-&lt;version&gt;
$ bin/drill-embedded</pre></div>
  <div class="description">
    <h1>Scale from one laptop to 1000s of servers</h1>
    <p>We made it easy to download and run Drill on your laptop. It runs on Mac, Windows and Linux, and within a minute or two you'll be exploring your data. When you're ready for prime time, deploy Drill on a cluster of commodity servers and take advantage of the world's most scalable and high performance execution engine.
    <p>Drill's symmetrical architecture (all nodes are the same) and simple installation make it easy to deploy and operate very large clusters.</p>
  </div>
  <div class="small"><pre>$ curl &lt;url&gt; -o drill.tgz
  $ tar xzf drill.tgz
  $ cd apache-drill-&lt;version&gt;
  $ bin/drill-embedded</pre></div>
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  <div class="description">
    <h1>No more waiting for coffee</h1>
    <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
<li>Columnar execution engine (the first ever to support complex data!)</li>
<li>Data-driven compilation and recompilation at execution time</li>
<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
<li>Locality-aware execution that reduces network traffic when Drill is co-located with the datastore</li>
<li>Advanced cost-based optimizer that pushes processing into the datastore when possible</li></ul></p>
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