(Dave Beulke) Actually working with Big Data versus hearing the hype of Big Data and NoSQL vendors continues to amaze me. If I see Volume, Variety, and Velocity as the description of Big Data one more time I won’t be able click away from the web page fast enough.

(Tendai Chinoda and Harry L. Hoots, III) Follow this design blueprint to implement a homegrown, lightweight ESB. The scenario leverages commonly used Integrated Development Environments (IDEs) and middleware, such as Rational Software Architect and WebSphere Application Server. The framework consist

(Ember Crooks) This post is specific to WebSphere Commerce. If you’re supporting WebSphere Commerce and you don’t know what dbclean is, get yourself a cup of coffee and start researching.

(Mohankumar Saraswatipura) In any Database Partitioning Feature (DPF) warehouse environment, the replicated Materialized Query Table (MQT) plays an important role in improving database performance. The performance improvement can be significant for the frequently joined SQL statements between the bu

(Thuan Bui and Hassi Norlén) Testing of enterprise changes are costly and difficult tasks for IT organizations. See how an IT team at a fictional outdoor equipment retailer, the Sample Outdoor company, can reduce costs and mitigate risks with realistic testing by using IBM InfoSphere Optim Query Cap

(Troy Coleman) The RUNSTATS utility gathers summary information about the characteristics of data in table spaces, indexes and partitions. I’ve previously written about using RUNSTATS (here and here), but now I can report that a new option makes the utility less resource-intensive.

(Matthias Nicola) In a previous post I described how to write a query that produces a list of all elements and attributes that occur in a document or a set of documents.

(Madhusudan KJ, Aslam Nomani, Saroj Tripathy, Sumair Kayani and Barry Whyte) A key aspect of the IBM DB2 pureScale solution lies in underlying storage capabilities. In addition, DB2 pureScale takes advantage of specific storage capabilities to enhance the solution. This article will take you through

(Robert Catterall) With DB2’s data sharing capability having been introduced back in the mid-1990s with DB2 for z/OS Version 4, a great many people — including lots of folks whose organizations do not run DB2 in data sharing mode — are quite familiar with the technology (for people new to this sub

(Frank Petersen) In Part 1 of this article, I described the new statement-level monitoring feature in IBM DB2 10, highlighting the way the data is collected by DB2, what the data represents, and what this new feature could show developers and DBAs. This second part examines the more difficult and ch