Using Hadoop to Optimize the Enterprise Data Warehouse

An Ovum White Paper for Hortonworks

Published May 2018

hortonworks_WP

Hadoop's promise is that it provides a versatile and extensible analytic platform that uses commodity hardware and open source innovation to deliver economies of scale. Enterprise Data Warehouse (EDW) optimization, where data- and compute-intensive processes are offloaded from the EDW to Hadoop, has proven to be one of the most popular use cases for the open source platform. EDW optimization is often one of the first use cases for Hadoop because it can readily deliver tangible results, thanks to:

  • cost savings delivered by commodity infrastructure and open source software.
  • proven capability to perform at scale.
  • innovations that have brought interactive BI to Hadoop.
  • productivity gains attributable to more efficient data enrichment and correlation.