The explosive growth of data has forced organizations to use their enterprise data warehouse (EDW) for purposes that it was never intended for — including running extraction, transformation and loading (ETL) workloads and storing large volumes of unused data. New types of data, updated analytics practices and more efficient, cost-effective methods of storing and accessing data have put an additional strain on EDW infrastructures.
One of the most effective modernization approaches is offloading EDW data and ETL workloads to an Apache Hadoop data lake, reducing cost and EDW performance strain.
IBM's complete, proven solution for EDW supports data movement, quality, governance and replication. It provides a scalable, high-performance platform that enables you to leverage your team's existing skills and data integration job assets while realizing all the benefits of data offloading.