(Ember Crooks) This blog entry may be a little on the basic side, but some of my most basic entries are some of my most popular ones.

(Russ Evans) Previous articles (see the “References” section) discussed the tremendous benefits accrued from using the CICS Open Transaction Environment (OTE), ranging from improved multiprocessor exploitation to reductions in software license charges. In this final article, we take a closer look at

(Thuan Bui, Hassi Norlen and Patrick Titzler) IBM InfoSphere Optim Workload Replay for Linux, UNIX, and Windows lets you replay database production workloads in pre-production environments without the need to set up a complex client and application infrastructure to mirror the production environment

(Craig S. Mullins) The last blog post here at the DB2 Portal offered up a brief overview of the types of tools that you might want to consider to help you use, manage, and administer your DB2 applications and databases. But it did not really look into the capabilities and requirements for modern DB2

(Chris Eaton) The good news is that you don’t need to care…it all happens automatically. So why bother writing about it? Well I know a lot of you out there (just like me) are curious and want to really understand how things work. And of course it’s possible that things don’t work the way you thought

(Rufus Credle, Shao Jun Ding, Jagdish Komakula, Alexander Poga, Sebastian Thomschke and Marek Zajac) This IBM Redbooks publication explains the capabilities of IBM WebSphere Application Server Liberty profile, which is extremely lightweight, easy to install, and fast to use. Liberty profile provides

(Troy Coleman) Last fall IBM announced DB2 Analytics Accelerator (DB2 Accelerators) for z/OS Version 4.1. In contrast to previous releases, which supported a limited SQL syntax (and only for dynamic SQL), V4.1 enables a wide array of queries with static SQL support.

(Cindy Russell) Using InfoSphere Information Server with DB2, you get best-of-breed capabilities to integrate DB2 data, push computing to DB2 and manage metadata as well.

(Steve Raspudic, Alexander Abrashkevich and Toni Kunic) This series explores how to process unstructured data in parallel fashion — within a machine and across a series of machines — using the power of IBM DB2 for Linux, UNIX and Windows (LUW) and GPFS shared-nothing cluster (SNC) to provide efficie

(Grant Hutchison) Personally, I’ve been working with databases in various forms since my first work term back in 1990. Back then, it was the radically new dBASE IV. If you remember that product you are definitely not a Millennial. It was the first 4GL environment for coding PC-based data centric app