By Madhu Nair on Apr 06, 2015
Proudly announcing the availability of Oracle Data Integrator for Big Data. This release is the latest in the series of advanced Big Data updates and features that Oracle Data Integration is rolling out for customers to help take their Hadoop projects to the next level.
Increasing Big Data Heterogeneity and Transparency
This release sees significant additions in heterogeneity and governance for customers. Some significant highlights of this release include
- Support for Apache Spark,
- Support for Apache Pig, and
- Orchestration using Oozie.
Click here for a detailed list of what is new in Oracle Data Integrator (ODI).
Oracle Data Integrator for Big Data helps transform and enrich data within the big data reservoir/data lake without users having to learn the languages necessary to manipulate them. ODI for Big Data generates native code that is then run on the underlying Hadoop platform without requiring any additional agents. ODI separates the design interface to build logic and the physical implementation layer to run the code. This allows ODI users to build business and data mappings without having to learn HiveQL, Pig Latin and Map Reduce.
Oracle Data Integrator for Big Data Webcast
We invite you to join us on the 30th of April for our webcast to learn more about Oracle Data Integrator for Big data and to get your questions answered about Big Data Integration. We discuss how the newly announced Oracle Data Integrator for Big Data