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Setting up the correct metrics is vital for measuring anything. Mean, median and a variety of other complex formulas are being used for an assortment of purposes in Big Data projects. The heart of the issue is whether these complex formulas correctly convey correct measurements for the particular situation. For example the simple mean . . . → Read More: Big Data: Big Lies, Big Damn Lies and Statistics The International DB2 User Group (IDUG) North American conference is always full of great DB2 Family presentations. I try to go through all of them because they are always full of great ideas, best practices, hints and tips. I guess that’s why IDUG celebrated both DB2 for z/OS’ 30-year anniversary and its own 25-year anniversary. . . . → Read More: DB2 10.5 Upgrade – 10 Reasons to Implement immediately! Recently I discussed DB2 SQL tips that have provided application performance for decades with my clients’ SQL developers. These DB2 SQL tips provide developers with performance guidelines that can help their application designs and SQL coding get the best performance the first time. Since clients have many different DB2 SQL tips, I’ve listed below 10 . . . → Read More: DB2 SQL Tips: 10 Performance Guidelines 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 It was a good Information on Demand conference with Information Management, Business Analytics and Big Data taking their turns as the most important subject. Even the thoughts I mentioned in last week’s blog about management by magazine indicated by the latest Harvard Business Review cover story on big data and an interior article describing the . . . → Read More: DB2 10 Rocks Big Data 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 Big data continues to be all the rage for government, private and public companies as the new vendors scramble to make their products work and others rebrand last year’s to handle bigger data than their competitors. The problem is that new and old vendors are still missing the scalability or performance mark for making big . . . → Read More: Big Data: Managing by Your Management Expectations Since I am president of the local Washington DC DAMA National Capital Region (NCR), I was fortunate to put the agenda together for our annual DAMA Day. Our DAMA Day this year featured the topic of Big Data and I was fortunate to convince Jeff Jonas to keynote at our DAMA Day event. Jeff and . . . → Read More: Big Data: Jeff Jonas Provides More Insights at DAMA-NCR Building a big data warehouse using a Union All View (UAV) table with billions of rows is only the beginning. There has to be a DB2 system that is enabled so the data warehouse can have SQL optimized automatically and queries run efficiently. Hopefully each of the critical DB2 DSNZPARM settings was reviewed during your . . . → Read More: DB2 DSNZPARMS: How to Get DSNZPARM Settings with Data Studio to Improve Big Data Performance Building a big data warehouse with billions of rows always needs an extra bit of attention to get the best performance out of the database processing. Application programming is always interesting as the efficiency of the code and the DB2 data types handled by the application code are critical for data quality and integrity. With . . . → Read More: Big Data Analytics: DB2 Data Types |
 
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