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The starting point was the fact, that Pentaho is based on open standards and so all Pentaho ETL jobs and transformations as well as OLAP cubes are defined in xml format. In this article we refer to an approach to document ETL jobs and transformations. Exactly the same approach has also be used to document OLAP cubes.

Using the xslt language we can extract information from an xml file based on defined xml tags. If we open a Pentaho ETL job, for example, in a text editor, we can see its structure, which looks like this:

<?xml version=”1.0″ encoding=”UTF-8″?><br />
<job><br />
<name>temp</name><br />
<description/><br />
<extended_description/><br />
<job_version/><br />
<directory>&amp;#47;</directory><br />
<created_user>-</created_user><br />
<created_date>2010&amp;#47;01&amp;#47;19 10:00:14.581</created_date><br />
<modified_user>-</modified_user><br />
<modified_date>2010&amp;#47;01&amp;#47;19 10:00:14.581</modified_date></p>
<parameters>
</parameters>
<slaveservers><br />
</slaveservers><br />
<logconnection/><br />
<logtable/><br />
<size_limit_lines/><br />
<use_batchid>Y</use_batchid></p>
<pass_batchid>N</pass_batchid>
<use_logfield>Y</use_logfield><br />
<shared_objects_file/><br />
<entries><br />
</entries><br />
<hops><br />
</hops><br />
<notepads><br />
</notepads><br />

</job>

The steps of the job are defined as “entries” and the connections between the steps are the “hops”.

The next step is to create an xslt file that would extract the information from this job based on the xml and present that information in a user friendly way, for example as a web site.

Some sample xslt files and instructions to implementation can be found on our wiki.

©2010 BizCubed. All Rights Reserved.

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This course is designed for BI developers and analysts tasked with developing cubes for online analytical processing (OLAP).

Online analytical processing (OLAP) is one of the most powerful technologies to use within Business Intelligence applications and systems. OLAP allows fast, interactive analysis of large volumes of data. The power to explore large amounts of data at the stream of thought allows employees throughout the enterprise to answer critical business questions and make better decisions. This course explores the architecture, concepts, and features of Pentaho Analysis (Mondrian) to harness the power of OLAP, including the use of star and snowflake schemas, the use of aggregate tables, and the integration of Pentaho Analysis and the remainder of the Pentaho BI Suite.

See our Pentaho Training page for more information on our training courses, including dates.

©2010 BizCubed. All Rights Reserved.

©2010 BizCubed. All Rights Reserved.

©2010 BizCubed. All Rights Reserved.

©2010 BizCubed. All Rights Reserved.

©2010 BizCubed. All Rights Reserved.

©2010 BizCubed. All Rights Reserved.

©2010 BizCubed. All Rights Reserved.

©2010 BizCubed. All Rights Reserved.