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-<!DOCTYPE html><html><head><title>Machine Learning Analytics with
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href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li
class="level-3"><a class="final"
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href="/templates/recommendation/customize-data-prep/"><span>Customize Data
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oduct/quickstart/"><span>Quick Start</span></a></li><li class="level-3"><a
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xpandible" href="#"><span>Classification</span></a><ul><li class="level-3"><a
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href="/templates/classification/how-to/"><span>How-To</span></a></li><li
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Algorithm</span></a></li><li class="level-3"><a class="final"
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class="col-md-9 col-sm-12"><div class="content-header hidden-md
hidden-lg"><div id="page-title"><h1>Machine Learning Analytics with
Tableau</h1></div></div><div id="table-of-content-wrapper"><h5>On this
page</h5><aside id="table-of-contents"><ul> <li> <a
href="#prerequisites">Prerequisites</a> </li> <li>
<a href="#creating-hive-tables">Creating Hive Tables</a> </li> <li> <a
href="#launch-spark-sql-s-thrift-jdbc-odbc-server">Launch Spark SQL's Thrift
JDBC/ODBC Server</a> </li> <li> <a
href="#performing-analysis-with-tableau">Performing Analysis with Tableau</a>
</li> </ul> </aside><hr/><a id="edit-page-link"
href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/datacollection/analytics-tableau.html.md.erb"><img
src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div
class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Machine
Learning Analytics with Tableau</h1></div></div><div class="content"> <p>With
Spark SQL, it is possible to connect Tableau to Apache PredictionIO
(incubating) Event Server for interactive analysis of event data.</p><h2
id='prerequisites' class='header-anchors'>Prerequisites</h2> <ul> <li>Tableau
Desktop 8.3+ with a proper license key that supports Spark SQL;</li> <li>Spark
ODBC Driver from Datab
ricks (<a
href="https://databricks.com/spark/odbc-driver-download">https://databricks.com/spark/odbc-driver-download</a>);</li>
<li>Apache Hadoop 2.4+</li> <li>Apache Hive 0.3.1+</li> </ul> <div
class="alert-message info"><p>In this article, we will assume that you have a
working HDFS, and that your environmental variable <code>HADOOP_HOME</code> has
been properly set. This is essential for Apache Hive to function properly. In
addition, <code>HADOOP_CONF_DIR</code> in
<code>$PIO_HOME/conf/pio-env.sh</code> must also be properly set for the
<code>pio export</code> command to write to HDFS instead of the local
filesystem.</p></div> <p><h2 id='export-events-to-apache-parquet'
class='header-anchors'>Export Events to Apache Parquet</h2><p>PredictionIO
supports exporting your events to <a href="http://parquet.apache.org/">Apache
Parquet</a>, a columnar storage format that allows you to query
quickly.</p><p>Let's export the data we imported in <a
href="/templates/recommendation/quickst
art/#import-sample-data">Recommendation Engine Template Quick Start</a>, and
assume the App ID is 1.</p><div class="highlight shell"><table
style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align:
right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$
</span><span class="nv">$PIO_HOME</span>/bin/pio <span class="nb">export</span>
--appid 1 --output /tmp/movies --format parquet
+<!DOCTYPE html><html><head><title>Machine Learning Analytics with
Tableau</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1"
http-equiv="X-UA-Compatible"/><meta name="viewport"
content="width=device-width, initial-scale=1.0"/><meta class="swiftype"
name="title" data-type="string" content="Machine Learning Analytics with
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href="/install/"><span>Installing Apache PredictionIO</span></a></li><li
class="level-2"><a class="final" href="/start/download/"><span>Downloading an
Engine Template</span></a></li><li class="level-2"><a class="final"
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href="/appintegration/"><span>App Integration Overview</span></a></li><li
class="level-2"><a class="expandible" href="/sdk/"><span>List of
SDKs</span></a><ul><li class="level-3"><a class="final"
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SDK</span></a></li><li class="level-3"><a class="final"
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class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li
class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered
SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a
class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li
class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web
Service</span></a></li><li class="level-2"><a class="final"
href="/batchpredict/"><span>Batch Predictions</span></a></li><li cl
ass="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring
Engine</span></a></li><li class="level-2"><a class="final"
href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li
class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying
Multiple Engine Variants</span></a></li><li class="level-2"><a class="final"
href="/deploy/plugin/"><span>Engine Server Plugin</span></a></li></ul></li><li
class="level-1"><a class="expandible" href="#"><span>Customizing an
Engine</span></a><ul><li class="level-2"><a class="final"
href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a
class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li
class="level-2"><a class="final"
href="/customize/troubleshooting/"><span>Troubleshooting Engine
Development</span></a></li><li class="level-2"><a class="final"
href="/api/current/#package"><span>Engine Scala
APIs</span></a></li></ul></li><li class="level-1"><a clas
s="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li
class="level-2"><a class="final" href="/datacollection/"><span>Event Server
Overview</span></a></li><li class="level-2"><a class="final"
href="/datacollection/eventapi/"><span>Collecting Data with
REST/SDKs</span></a></li><li class="level-2"><a class="final"
href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li
class="level-2"><a class="final"
href="/datacollection/webhooks/"><span>Unifying Multichannel Data with
Webhooks</span></a></li><li class="level-2"><a class="final"
href="/datacollection/channel/"><span>Channel</span></a></li><li
class="level-2"><a class="final"
href="/datacollection/batchimport/"><span>Importing Data in
Batch</span></a></li><li class="level-2"><a class="final"
href="/datacollection/analytics/"><span>Using Analytics
Tools</span></a></li><li class="level-2"><a class="final"
href="/datacollection/plugin/"><span>Event Server
Plugin</span></a></li></ul></li><li cla
ss="level-1"><a class="expandible" href="#"><span>Choosing an
Algorithm(s)</span></a><ul><li class="level-2"><a class="final"
href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li
class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to
Another Algorithm</span></a></li><li class="level-2"><a class="final"
href="/algorithm/multiple/"><span>Combining Multiple
Algorithms</span></a></li><li class="level-2"><a class="final"
href="/algorithm/custom/"><span>Adding Your Own
Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible"
href="#"><span>ML Tuning and Evaluation</span></a><ul><li class="level-2"><a
class="final" href="/evaluation/"><span>Overview</span></a></li><li
class="level-2"><a class="final"
href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li
class="level-2"><a class="final"
href="/evaluation/evaluationdashboard/"><span>Evaluation
Dashboard</span></a></li><li class="level-2"><a class="final"
href="/evaluation/metricchoose/"><span>Choosing Evaluation
Metrics</span></a></li><li class="level-2"><a class="final"
href="/evaluation/metricbuild/"><span>Building Evaluation
Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible"
href="#"><span>System Architecture</span></a><ul><li class="level-2"><a
class="final" href="/system/"><span>Architecture Overview</span></a></li><li
class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using
Another Data Store</span></a></li></ul></li><li class="level-1"><a
class="expandible" href="#"><span>PredictionIO® Official
Templates</span></a><ul><li class="level-2"><a class="final"
href="/templates/"><span>Intro</span></a></li><li class="level-2"><a
class="expandible" href="#"><span>Recommendation</span></a><ul><li
class="level-3"><a class="final"
href="/templates/recommendation/quickstart/"><span>Quick
Start</span></a></li><li class="level-3"><a class="final"
href="/templates/recommendation/dase/"><span>DA
SE</span></a></li><li class="level-3"><a class="final"
href="/templates/recommendation/evaluation/"><span>Evaluation
Explained</span></a></li><li class="level-3"><a class="final"
href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li
class="level-3"><a class="final"
href="/templates/recommendation/reading-custom-events/"><span>Read Custom
Events</span></a></li><li class="level-3"><a class="final"
href="/templates/recommendation/customize-data-prep/"><span>Customize Data
Preparator</span></a></li><li class="level-3"><a class="final"
href="/templates/recommendation/customize-serving/"><span>Customize
Serving</span></a></li><li class="level-3"><a class="final"
href="/templates/recommendation/training-with-implicit-preference/"><span>Train
with Implicit Preference</span></a></li><li class="level-3"><a class="final"
href="/templates/recommendation/blacklist-items/"><span>Filter Recommended
Items by Blacklist in Query</span></a></li><li class="level-3"><a class="final"
h
ref="/templates/recommendation/batch-evaluator/"><span>Batch Persistable
Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible"
href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a
class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick
Start</span></a></li><li class="level-3"><a class="final"
href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li
class="level-3"><a class="final"
href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li
class="level-3"><a class="final"
href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train
with Rate Event</span></a></li><li class="level-3"><a class="final"
href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust
Score</span></a></li></ul></li><li class="level-2"><a class="expandible"
href="#"><span>Similar Product</span></a><ul><li class="level-3"><a
class="final" href="/templates/similarproduct/quic
kstart/"><span>Quick Start</span></a></li><li class="level-3"><a class="final"
href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li
class="level-3"><a class="final"
href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li
class="level-3"><a class="final"
href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple
Events and Multiple Algorithms</span></a></li><li class="level-3"><a
class="final"
href="/templates/similarproduct/return-item-properties/"><span>Returns Item
Properties</span></a></li><li class="level-3"><a class="final"
href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate
Event</span></a></li><li class="level-3"><a class="final"
href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events
for Users</span></a></li><li class="level-3"><a class="final"
href="/templates/similarproduct/recommended-user/"><span>Recommend
Users</span></a></li></ul></li><li class="level-2"><a class="expandible"
href="#"><span>Classification</span></a><ul><li class="level-3"><a
class="final" href="/templates/classification/quickstart/"><span>Quick
Start</span></a></li><li class="level-3"><a class="final"
href="/templates/classification/dase/"><span>DASE</span></a></li><li
class="level-3"><a class="final"
href="/templates/classification/how-to/"><span>How-To</span></a></li><li
class="level-3"><a class="final"
href="/templates/classification/add-algorithm/"><span>Use Alternative
Algorithm</span></a></li><li class="level-3"><a class="final"
href="/templates/classification/reading-custom-properties/"><span>Read Custom
Properties</span></a></li></ul></li></ul></li><li class="level-1"><a
class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li
class="level-2"><a class="final"
href="/gallery/template-gallery/"><span>Browse</span></a></li><li
class="level-2"><a class="final"
href="/community/submit-template/"><span>Submit your Engine as a
Template</span></a></li></ul></li><li cl
ass="level-1"><a class="expandible" href="#"><span>Demo
Tutorials</span></a><ul><li class="level-2"><a class="final"
href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li
class="level-2"><a class="final" href="/demo/community/"><span>Community
Contributed Demo</span></a></li><li class="level-2"><a class="final"
href="/demo/textclassification/"><span>Text Classification Engine
Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible"
href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a
class="final" href="/community/contribute-code/"><span>Contribute
Code</span></a></li><li class="level-2"><a class="final"
href="/community/contribute-documentation/"><span>Contribute
Documentation</span></a></li><li class="level-2"><a class="final"
href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li
class="level-2"><a class="final"
href="/community/contribute-webhook/"><span>Contribute a
Webhook</span></a></li><li
class="level-2"><a class="final" href="/community/projects/"><span>Community
Projects</span></a></li></ul></li><li class="level-1"><a class="expandible"
href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final"
href="/resources/faq/"><span>FAQs</span></a></li><li class="level-2"><a
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href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final"
href="/cli/"><span>Command-line Interface</span></a></li><li class="level-2"><a
class="final" href="/resources/release/"><span>Release
Cadence</span></a></li><li class="level-2"><a class="final"
href="/resources/intellij/"><span>Developing Engines with IntelliJ
IDEA</span></a></li><li class="level-2"><a class="final"
href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li
class="level-2"><a class="final"
href="/resources/glossary/"><span>Glossary</span></a></li></ul></li><li class="l
evel-1"><a class="expandible" href="#"><span>Apache Software
Foundation</span></a><ul><li class="level-2"><a class="final"
href="https://www.apache.org/"><span>Apache Homepage</span></a></li><li
class="level-2"><a class="final"
href="https://www.apache.org/licenses/"><span>License</span></a></li><li
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href="https://www.apache.org/foundation/thanks.html"><span>Thanks</span></a></li><li
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class="col-md-9 col-sm-12"><div class="content-header hidden-md
hidden-lg"><div id="page-title"><h1>Machine Learning Analytics with
Tableau</h1></div></div><div id="table-of-content-wrapper"><h5>On this
page</h5><aside id="table-of-contents"><ul> <li> <a
href="#prerequisites">Prerequisites</a> </li> <li> <a href="
#creating-hive-tables">Creating Hive Tables</a> </li> <li> <a
href="#launch-spark-sql-s-thrift-jdbc-odbc-server">Launch Spark SQL's Thrift
JDBC/ODBC Server</a> </li> <li> <a
href="#performing-analysis-with-tableau">Performing Analysis with Tableau</a>
</li> </ul> </aside><hr/><a id="edit-page-link"
href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/datacollection/analytics-tableau.html.md.erb"><img
src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div
class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Machine
Learning Analytics with Tableau</h1></div></div><div class="content"> <p>With
Spark SQL, it is possible to connect Tableau to Apache PredictionIO Event
Server for interactive analysis of event data.</p><h2 id='prerequisites'
class='header-anchors'>Prerequisites</h2> <ul> <li>Tableau Desktop 8.3+ with a
proper license key that supports Spark SQL;</li> <li>Spark ODBC Driver from
Databricks (<a href="https://databrick
s.com/spark/odbc-driver-download">https://databricks.com/spark/odbc-driver-download</a>);</li>
<li>Apache Hadoop 2.4+</li> <li>Apache Hive 0.3.1+</li> </ul> <div
class="alert-message info"><p>In this article, we will assume that you have a
working HDFS, and that your environmental variable <code>HADOOP_HOME</code> has
been properly set. This is essential for Apache Hive to function properly. In
addition, <code>HADOOP_CONF_DIR</code> in
<code>$PIO_HOME/conf/pio-env.sh</code> must also be properly set for the
<code>pio export</code> command to write to HDFS instead of the local
filesystem.</p></div> <p><h2 id='export-events-to-apache-parquet'
class='header-anchors'>Export Events to Apache Parquet</h2><p>PredictionIO
supports exporting your events to <a href="http://parquet.apache.org/">Apache
Parquet</a>, a columnar storage format that allows you to query
quickly.</p><p>Let's export the data we imported in <a
href="/templates/recommendation/quickstart/#import-sample-data">Recommen
dation Engine Template Quick Start</a>, and assume the App ID is 1.</p><div
class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td
class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td
class="code"><pre><span class="gp">$ </span><span
class="nv">$PIO_HOME</span>/bin/pio <span class="nb">export</span> --appid 1
--output /tmp/movies --format parquet
</pre></td></tr></tbody></table> </div> <p>After the command has finished
successfully, you should see something similar to the following.</p><div
class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td
class="gutter gl" style="text-align: right"><pre class="lineno">1
2
3
@@ -83,7 +83,7 @@
10 rows selected <span class="o">(</span>0.515 seconds<span class="o">)</span>
0: jdbc:hive2://localhost:10000>
</pre></td></tr></tbody></table> </div> <p>Now you are ready to use
Tableau!</p><h2 id='performing-analysis-with-tableau'
class='header-anchors'>Performing Analysis with Tableau</h2><p>Launch Tableau
and Connect to Data. Click on <strong>Spark SQL (Beta)</strong> and enter Spark
SQL's Thrift JDBC/ODBC Server information. Make sure to pick <strong>User
Name</strong> as <strong>Authentication</strong>. Click
<strong>Connect</strong>.</p><p><img alt="Tableau and Spark SQL"
src="/images/datacollection/tableau-01-b5a23839.png"/></p><p>On the next page,
pick <strong>default</strong> under <strong>Schema</strong>.</p><div
class="alert-message info"><p>You may not see any choices when you click on
Schema. Simply press Enter and Tableau will try to list all
schemas.</p></div><p>Once you see a list of tables that includes
<strong>events</strong>, click <strong>New Custom SQL</strong>, then enter the
following.</p><div class="highlight sql"><table style="border-spacing:
0"><tbody><tr><td c
lass="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td
class="code"><pre><span class="k">SELECT</span> <span
class="n">event</span><span class="p">,</span> <span
class="n">entityType</span><span class="p">,</span> <span
class="n">entityId</span><span class="p">,</span> <span
class="n">targetEntityType</span><span class="p">,</span> <span
class="n">targetEntityId</span><span class="p">,</span> <span
class="n">properties</span><span class="p">.</span><span
class="n">rating</span> <span class="k">FROM</span> <span
class="n">events</span>
-</pre></td></tr></tbody></table> </div> <p>Click <strong>Update Now</strong>.
You should see the following screen by now, indicating success in loading data.
Using a custom SQL allows you to extract arbitrary fields from within
properties.</p><p><img alt="Setting up Tableau"
src="/images/datacollection/tableau-02-76e93443.png"/></p><p>Click <strong>Go
to Worksheet</strong> and start analyzing. The following shows an example of
breaking down different rating values.</p><p><img alt="Rating Values Breakdown"
src="/images/datacollection/tableau-03-e389351e.png"/></p><p>The following
shows a summary of interactions.</p><p><img alt="Interactions"
src="/images/datacollection/tableau-04-c8c31bb7.png"/></p><p>Happy
analyzing!</p></div></div></div></div><footer><div class="container"><div
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+</pre></td></tr></tbody></table> </div> <p>Click <strong>Update Now</strong>.
You should see the following screen by now, indicating success in loading data.
Using a custom SQL allows you to extract arbitrary fields from within
properties.</p><p><img alt="Setting up Tableau"
src="/images/datacollection/tableau-02-76e93443.png"/></p><p>Click <strong>Go
to Worksheet</strong> and start analyzing. The following shows an example of
breaking down different rating values.</p><p><img alt="Rating Values Breakdown"
src="/images/datacollection/tableau-03-e389351e.png"/></p><p>The following
shows a summary of interactions.</p><p><img alt="Interactions"
src="/images/datacollection/tableau-04-c8c31bb7.png"/></p><p>Happy
analyzing!</p></div></div></div></div><footer><div class="container"><div
class="seperator"></div><div class="row"><div class="col-md-6
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