Process to Justify an IBM DB2 Analytics Accelerator (IDAA) Part 3

Every mainframe DB2 shop should investigate reducing their costs by offloading workload to an IDAA appliance. By investing in an IDAA appliance and sending your SQL workloads to it, you can speed up your processing without making any application changes. After investigating my daily SQL workload, I discovered millions of mainframe CPU MIPS that could . . . → Read More: Process to Justify an IBM DB2 Analytics Accelerator (IDAA) Part 3

3 Big Data Performance: Building Analytical Consensus

Working with big data performance everyday takes the “big” out of it. The big data is just a bigger data beast that your procedures and processes need to plan for and deal with. Every big data decision is just another decision, but a bit more interesting and intensified because the outcome is more impactful and . . . → Read More: 3 Big Data Performance: Building Analytical Consensus

3 DB2 Critical Design Factors for Big Data Analytics Scalability

Faster, bigger, and better analytical insights. These are the goals that management lays out as the new big data analytics process is talked about during the startup meetings. Looking around the room and listening to the CIO’s comments it becomes abundantly clear that they only know the big data salesmen’s marketing material version not the . . . → Read More: 3 DB2 Critical Design Factors for Big Data Analytics Scalability

3 Critical Programming Performance Criteria

The new year always presents great opportunities after the holiday rush and code freeze-thaw of the holiday year-end. Unfortunately the code freeze-thaw can present wonderful opportunities for growth. Recently these three critical factors came to light during the analysis of performance aspects of the new version of a website.

There must always be a process . . . → Read More: 3 Critical Programming Performance Criteria

3 Critical Factors for Big Data Analytics Performance

With the start of the New Year comes new/revised project schedules, endless list of agile deliverables, new/maintenance projects, and the roulette of implementations. All of these efforts challenge the IT staff as no one talks about the business’ insatiable appetite for big data sliced/diced and where analytics is spread out across the corporation in a . . . → Read More: 3 Critical Factors for Big Data Analytics Performance

Speed of thought data warehouse analytics

IBM’s System z Software Technical Sales Boot Camp at Silicon Valley Lab was last week and I was one of the few Gold Consultants who was invited to attend. This event highlights IBM’s new technology features for the IBM sales and services teams. The event presents all type of information from software enhancements, scheduled updates . . . → Read More: Speed-of-Thought Data Warehouse Analytics