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
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
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 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
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 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?
As I get ready to travel to IDUG Berlin I look back at the Information on Demand (IOD) conference and remember the importance of all the components that enabled the conference theme, Big Data Analytics.
The first components are the front-end products Cognos and the new QMF. While sharing a cab to the airport . . . → Read More: Big Data after the IOD Conference Thoughts
Management by magazine supports big data with the latest Harvard Business Review putting big data on its cover so every CEO can ask the CIO about their big data initiatives. I have experienced firsthand how big data can provide deep business insights and I discussed the business gains at IOD in my “Agile Big Data . . . → Read More: Big Data: IBM Addresses Big Data with the New PureSystems
It was informative and fun attending the IOD and IDUG conferences over the last couple of weeks. There were some great presentations at the IDUG and IOD conferences and I started to go through all of them while I was traveling back and forth from Prague and traveling for the Thanksgiving holiday. Some of the . . . → Read More: Analytics Is the Answer: Two Great IBM MIT Papers
The IBM Information on Demand (IOD) conference is going on right now and there are several IBM product announcements that are available at the IBM web site addressing the big data explosion, cloud social and analytic business trends. These announcements unveil another great step forward over the competition in all of these areas.
The new . . . → Read More: IOD, IBM Trends and Budget Planning for DB2 10 Migration and Performance