DB2 10.5 “Cancun Release” Additional Monitoring Capabilities

DB2 10.5 “Cancun Release” was recently released as DB2 LUW Version 10.5 Fix Pak 4. As I wrote about last week, IBM has put a number of impressive features in this new update. Within DB2 10.5 “Cancun Release” Fix Pak 4 there are several new and . . . → Read More: DB2 10.5 “Cancun Release” Additional Monitoring Capabilities

6 Reason Why DB2 10.5 ”Cancun Release” Is So Important

The new DB2 10.5 “Cancun Release” was recently released as DB2 LUW Version 10.5 Fix Pak 4. IBM has done a lot of work and put a number of impressive features in this DB2 LUW Fix Pak 4. All these new DB2 10.5 “Cancun Release” features remove any doubts or restrictions about going to the . . . → Read More: 6 Reason Why DB2 10.5″ Cancun Release” Is So Important

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 . . . → 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 . . . → 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) . . . → 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