SQL Big Data Performance Tips

After data validation, in most instances SQL performance is the most important big data performance factor in big database applications. Understanding the fine details of DB2 SQL performance tips can make a huge difference in processing time, especially true when going against a big data database. Since every design decision is magnified by tens of . . . → Read More: SQL Big Data Performance Tips

IBM Announces Machine Learning on System z

Last month IBM provided more details about their new Watson Machine Learning Initiatives starting with System z (WMLz). Beginning a new initiative with the mainframe platform is an interesting move for IBM. The new WMLz offerings:

Introduce an end-to-end enterprise machine-learning platform. Extracting core machine learning technology from IBM Watson, IBM is offering a new . . . → Read More: IBM Announces Machine Learning on System z

DB2 12 and Other Technology Updates from the Silicon Valley Lab

Last week I was one of a few Gold Consultants who was invited to attend IBM’s System z Software Technical Sales Boot Camp at the Silicon Valley Lab. This event has many presentations highlighting IBM’s new technology and technology that is being developed. It is also a great time to catch up with other Gold . . . → Read More: DB2 12 and Other Technology Updates from the Silicon Valley Lab

Analytics Lessons from the Election

I have been doing analytical systems for many years, starting with my first data warehouse database design and application for E F Hutton in 1988. This election followed many analytics lessons that I have learned and experienced with several analytical data warehouse projects over the years.

First, don’t believe the early estimates or the first . . . → Read More: Analytics Lessons from the Election

5 Important Ideas from IBM World of Watson Conference

The rebranded IBM Insight conference (now the World of Watson conference) was last week. This year’s conference was noticeably improved with a wide variety of tried and true DB2 z/OS and DB2 LUW presentations along with new Spark, innovative data management techniques, big data activities, embedded technology, and industry specific solutions for the more than . . . → Read More: 5 Important Ideas from IBM World of Watson Conference

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

Five Data Management Trends for 2016

I want to thank all my readers for their support and comments this year. It has been a great year speaking at many of the user group meetings and, as always, a pleasure and honor working/hearing from all of you throughout the year. I believe information technology is going through another transformation which will especially . . . → Read More: Five Data Management Trends for 2016