DB2 11 for LUW includes a broad set of enhancements to BLU Acceleration, taking the columnar in-memory database technology to a new level of maturity, performance, and scalability. Matthias Nicola from IBM provides an overview of new features and improvements in BLU Acceleration in DB2 11.1
Analytics using R is often driven from client side applications such as RStudio and generally involves transmission of the large amounts of data from the database server to the clients for analysis. This method of doing the analysis can be slow given the limited resources on database client machines
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.
The IBM DB2 Analytics Accelerator (IDAA) has proven to be a big success in enabling analytics on DB2 z/OS data. Roberta Barnabè gave a well-received presentation at IDUG EMEA 2015 in Dublin on how her company implemented IDAA. Get practical advice to help have a successful implementation.
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.