IDUG Conference - 4 Reasons Why It’s Extremely Valuable

The International DB2 User Group (IDUG) conference is always great for talking with my long time DB2 friends, DB2 experts who have been working with systems for decades, and other colleagues who know the truth about IT politics, costs, and the real problems we deal with on a daily basis. The following . . . → Read More: IDUG Conference – 4 Reasons Why It’s Extremely Valuable

Big Data: Four Factors to Tune your Meaningful Analytics

The last two weeks I have talked about ways to choose meaningful business analytics and then fine tune the focus of your business analytics. This week I talk about the factors needed to further fine tune your analytics into effective results for your company. Some of the ideas might even help . . . → Read More: Big Data: Four Factors to Tune your Meaningful Analytics

DB2 11 for z/OS Features and Resources

Information overload is the constant at all conferences and the recent European IDUG and US IOD conferences were both tremendous at providing great detailed information. All the enhancements in DB2 11 for z/OS, DB2 10.5 BLU Acceleration, and all the latest Pure Data systems were detailed at both conferences. DB2 11 for z/OS has many . . . → Read More: DB2 11 for z/OS Features and Resources

IDUG Europe 2013 – More Details on the 3 Topics on Everyone’s Mind

The IDUG European conference celebrated 30 years for DB2 z/OS, 25 years of IDUG conferences, and 20 years of DB2 LUW. With colleagues from around the world the IDUG conference helped everyone share their knowledge: company data management issues, problem situations; and understand what has been successful and what has failed. As I wrote last . . . → Read More: IDUG Europe 2013 — More Details on the 3 Topics on Everyone’s Mind

IDUG Europe 2013 - 4 Topics on Everyone’s Mind

This year DB2 celebrates 30 years of helping clients. The IDUG conferences are always great venues to connect with colleagues from around the world. The stories about companies, projects, and tools are very valuable to understand the truth, the hype, what is working, and how it is being done. The following three topics seem to . . . → Read More: IDUG Europe 2013 – 4 Topics on Everyone’s Mind

Big Data Day Recap – 5 Very Interesting Items

During the Big Data DAMA-NCR Meeting in Washington D.C. this week, I heard from Svetlana Sicular, Research Director of Data Management Strategies at Gartner Group; Raul F. Chong, Senior Big Data and Cloud Program Manager at IBM; and John Adler and Madina Kassengaliyeva from Think Big Analytics.

Their insights into Big Data projects were quite . . . → Read More: Big Data Day Recap — 5 Very Interesting Items

3 Big Data Disaster Recovery Performance Factors

As I talked recently in my blog “Big Data: 5 Considerations for Disaster Recovery,” Big Data disaster recovery drives companies to intense analysis of the big data usage and its importance. Getting the business to discuss and define the Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for Big Data is a . . . → Read More: 3 Big Data Disaster Recovery Performance Factors

Big Data: 5 Considerations for Disaster Recovery

Big Data drives the issue of disaster recovery to the front of the discussion. How critical or how much benefit your Big Data business application is to the bottom line of the business is directly proportionate to your Big Data disaster recovery planning efforts. The following five considerations will help your evaluation of the data . . . → Read More: Big Data: 5 Considerations for Disaster Recovery

DB2 Performance Tuning Your DBA Staff

As a consultant over the years, I have seen the characteristics of a number of shops and discovered there are many different ways to develop, support, and get the best DB2 performance tuning out of a variety of situations. I believe the most important component of successful DB2 performance is the people, especially the DBAs. . . . → Read More: DB2 Performance Tuning Your DBA Staff

Big Data: Leverage the New Fantasy Football Data Model?

Big Data analytics are all in fashion these days, but there are many issues with how analytics are used, and how developing the appropriate analytics takes a correct and thorough data model. As I talked about in my previous Big Lies, Big Damn Lies and Statistics blog post, there are many different ways . . . → Read More: Big Data: Leverage the New Fantasy Football Data Model?