IBM’s Db2 Analytics Accelerator (formerly called “IDAA”) has been available for over 8 years, as IBM bought Netezza in 2010. However, many Db2 professionals still don’t have exposure to this technology.
What if we take a look at the current database management systems field research performance?
Database services in the cloud are gaining increasing popularity for development, test, and production systems. One of the key technical challenges for cloud database adoption is fast and secure movement of large data volumes into the cloud.
One of the more difficult parts of developing a data architecture for a new project is choosing which technologies to use. You'll have application developers that have their opinions, management with a different view, and legacy technology already in place.
The purpose of this article is to provide a couple of ways you can work with Spark and Db2 for z/OS while having your Apache Spark installation (standalone or cluster) working outside of z/OS and at the same time enabling a feature of Db2 for z/OS most people are not aware of.