Pig - Rittman Mead

Oracle OpenWorld 2015 Roundup Part 2 : Data Integration, and Big Data (in the Cloud...)

In yesterdays part one of our three-part Oracle Openworld 2015 round-up [https://www.rittmanmead.com/blog/2015/11/oracle-openworld-2015-roundup-part-1-obiee12c-and-data-visualisation-cloud-service/] , we looked at the launch of OBIEE12c just before Openworld itself, and the new Data Visualisation Cloud Service

Big Data

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

Oracle recently announced Oracle Data Integrator Enterprise Edition Advanced Big Data Options [https://www.oracle.com/middleware/data-integration/enterprise-edition-big-data/index.html] 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.

Technical

Going Beyond MapReduce for Hadoop ETL Pt.2 : Introducing Apache YARN and Apache Tez

In the first post [https://www.rittmanmead.com/blog/2014/12/going-beyond-mapreduce-for-hadoop-etl-pt-1-why-mapreduce-is-only-for-batch-processing/] in this three part series on going beyond MapReduce for Hadoop ETL, I looked at how a typical Apache Pig script gets compiled into

Technical

Going Beyond MapReduce for Hadoop ETL Pt.1 : Why MapReduce Is Only for Batch Processing

Over the previous few months I’ve been looking at the various ways you can load data into Hadoop, process it and then report on it using Oracle tools [https://www.rittmanmead.com/blog/2013/11/why-odi-dw-and-obiee-developers-should-be-interested-in-hadoop/] . We’ve looked