IDAA, the Analytics Accelerator for DB2 z/OS, enables a new architecture that combines transaction and analytical processing in a single, hybrid system – enabling the next level of real-time analytics resulting in the simplification of the information management infrastructure.
If you haven’t heard about Spark, it is about time you read an article on it. But do we actually know what Apache Spark is exactly? Why should(n’t) we use it? Is it fit for purpose or not? Many things are still unclear to a broad audience; I hope to reveal a little more on this subject.
Apache Spark has become a hot topic in the world of Analytics. It is seen as a better performing alternative to Map/Reduce , and as a means to do analytics combining data across a wide set of data sources. This video is a excellent introduction to what Spark is, and how it works with DB2 for z/OS.
The Logical Data Warehouse is a data management architecture for analytics. It is a collection of data repositories and associated data services for management and access to data. IBM Fluid Query is a new software component that extends the concept of a federated query to Big Data.
The video below is a presentation recorded at the IDUG DB2 North America Tech Conference in May 2015. Netezza is a Data Warehouse Appliance which provides high performance on large volumes of data. Abhik Roy presents the Netezza architecture from a DBA perspective by comparing its features to DB2.