(Henrik Loeser) DB2 10.5 comes with BLU Acceleration. In a previous post I had explained what technologies are used for BLU and other analytic accelerators.

(Craig S. Mullins) DBAs and database professionals have been aware of the pros and cons of compressing data for years. The traditional argument goes something like this: with compression you can store more data in less space, but at the cost of incurring CPU to compress the data upon insertion (and

(Dave Beulke) Last week I talked about how to get involved in the latest conversations about Big Data analytics. When working with the Big Data analytics, the end business users reporting tools are critical. Your older tools may not be up to today’s Big Data analytics capabilities, such as deliver

(Benny Halberstadt and Nancy L. Navarro) IBM InfoSphere Business Glossary enables users to create, manage, and share an enterprise vocabulary and classification system. InfoSphere Business Glossary includes a REST API that makes glossary content easier to consume by enabling the development of custo

(Ember Crooks) My goal with this series is to provide some tips and tricks you might not be aware of for finding information in the IBM DB2 Information Center.

(Jack Vamvas) Question: How can I write a script to compare the structure of DDL in 2 databases? I understand there are tools on the market , but we are a small company and these tools don’t do exactly what we need and we don’t want to spend extra money on customising

(Will K. Liao) This article provides Remote Authentication Dial-In User Service (RADIUS) client setup and AAA configuration on WebSphere DataPower, which authenticates users with RSA SecurID key fob token codes through the WS-Trust protocol. The article describes how to configure the RADIUS integrat

(Craig S. Mullins) PEBCAK The number one cause of DB2 performance problems today, as always, is Problem Exists Between Chair And Keyboard!

(Henrik Loeser) It is Friday, time for a video. DB2 10.5 comes with BLU Acceleration which combines columnar storage, extreme compression, full parallelization and hardware exploitation as well as in-memory computing for faster analytics (almost all buzzwords mentioned ;-).

(Jay Limburn, Trey Anderson and Harsha Kapre) This article explains the important role that master data management (MDM) workflow plays when considering master data governance within an MDM implementation.