Process Information into and across Hadoop at High Speed
Details
What: Process information into and across Hadoop at high speed
Who: 1. Anyone who is interested in high-speed parallel movement within the Hadoop grid or exchanging information with upstream or downstream uses, including IBM, Cloudera, and HortonWorks
-
Anyone who is interested in business governance, metadata, and data lineage as it relates legacy systems and Hadoop
-
Anyone who has ever seen a DataStage Job.
What’s the value? What if your ETL tool’s engine-exploiting, in-memory features such as data partitioning, data pipelining, and dynamic repartitioning seamlessly integrate with Hadoop YARN? What if different divisions could use a common development platform to work on different Hadoop distributions?
What if the robust parallel connectivity, cleansing, transformation, enhancement, and data delivery features that thousands of enterprises have relied on for years are deployed inside the Hadoop platform?
What if you could deploy a complete set of data quality and governance features for data steward teams to manage data assets and measure business?
Process Information into and across Hadoop at High Speed