Data Integration Tips: ODI 12.1.3 – Convert to Flow

Thursday, April 16th, 2015 by

The many who have already upgraded Oracle Data Integrator from the 11g version to 12c probably know about this great feature called “convert to flow”. If not, well…here you go! First, a little background on why I think this is an excellent bit of functionality. The ODI Upgrade Assistant will convert objects from 11g to 12c and […]

Oracle Data Integrator Enterprise Edition Advanced Big Data Option Part 1- Overview and 12.1.3.0.1 install

Monday, April 13th, 2015 by

Oracle recently announced Oracle Data Integrator Enterprise Edition Advanced Big Data Options as part of the new 12.1.3.0.1 release of ODI. It includes various great new functionalities to work on an Hadoop ecosystem. Let’s have a look at the new features and how to install it on Big Data Lite 4.1 Virtual Machine. Note that some of these new […]

Data Integration Tips: ODI – Use Scenarios in packages

Tuesday, February 10th, 2015 by

  Here is another question I often hear during ODI Bootcamp or I often read in the ODI Space on OTN : In a package, should I directly use mappings (or interfaces prior to 12c) or is it better to use the scenarios generated from these mappings? An ODI package is a workflow used to sequence the different steps of […]

Data Integration Tips: ODI – One Data Server with several Physical Schemas

Tuesday, December 30th, 2014 by

Yes, I’m hijacking the “Data Integration Tips” series of my colleague Michael Rainey (@mRainey) and I have no shame! DISCLAIMER This tip is intended for newcomers in the ODI world and is valid with all the versions of ODI. It’s nothing new, it has been posted by other authors on different blogs. But I see […]

Adding Oracle Big Data SQL to ODI12c to Enhance Hive Data Transformations

Sunday, October 5th, 2014 by

An updated version of the Oracle BigDataLite VM came out a couple of weeks ago, and as well as updating the core Cloudera CDH software to the latest release it also included Oracle Big Data SQL, the SQL access layer over Hadoop that I covered on the blog a few months ago (here and here). […]

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