Endeca Explanation

November 19, 2012

We’ve turned up a useful summary of Endeca’s Information Discovery system; the description occurs within a post about using integration platform CloverETL with the Endeca product. “Oracle Endeca Information Discovery—CloverETL” is posted at Saichand Varanasi’s OBIEE, Endeca and ODI Blog. After referring readers to his Endeca overview, the blogger dives into the Clover. He writes:

“Today we will see how to create Clover ETL graph and populating data which will be used by MDEX engine for reporting (Studio). Endeca Information discovery helps organization to answer quickly on relevant data of both structured and Un structured. It helps to search and discover and analysis. Information is loaded from multiple data source systems and stored in a faceted data model that dynamically supports changing data. Information discovery enables an iterative approach. Integration features a new ETL tool, The integrator (Clover ETL) that lets you extract source records from a variety of source types flat files to databases.”

Next, Varanasi walks us through an example project. Along the way, he also explains how Endeca Information Discovery functions. A happy side effect, if you will. See the post for details.

Founded in 1999 and based in Cambridge, MA, Endeca was acquired by Oracle just over a year ago. The company has been at the forefront of faceted search technology, particularly for large e-commerce and online library systems.

Cynthia Murrell, November 19, 2012

Sponsored by ArnoldIT.com, developer of Augmentext


One Response to “Endeca Explanation”

  1. How to find selected/applied dimension in Endeca Guided Search using presentation API? « Clean Java on December 11th, 2012 12:39 am

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