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!
The International DB2 User Group (IDUG) North American conference celebrated both DB2 for z/OS’ 30-year anniversary and its own 25-year anniversary last week in Orlando. The conference was kicked off by a Bob Picciano who talked about the all the great items coming from the IBM Software Division. My notes from the session are too . . . → Read More: IDUG 2013 Announcement: DB2 Family Integrates JSON, Graph Document and Key Value Data Stores
The International DB2 User Group (IDUG) North American conference is celebrating both DB2 for z/OS’ 30 year anniversary and its own 25-year anniversary of representing the DB2 Users around the world. The IDUG conference is going to be especially good this year because of the five reasons I mentioned here. With the latest . . . → Read More: IDUG 2013: Why DB2 Has Been Going Strong for Thirty Years
The BLU Acceleration technology is coming out and the new DB2 Version 10.5 Kepler performance improvements are game changing and dramatic especially for Big Data. I blogged about these features in a more detailed entry (IBM BLU Acceleration – Best Yet for Big Data!). The Columnar data store, 10x compression, in-memory processing, Single . . . → Read More: Big Data: BLU Acceleration DB2 Version 10.5 Kepler Considerations
At the BLU acceleration technology briefing, I was able to talk to a wide variety of analysts from many well-known firms along with other architects, consultants and industry practitioners. Everyone was talking about the IBM BLU technology for Big Data that I blogged about earlier, but Big Data conversation topics ranged from new . . . → Read More: Big Data: Four Security Improvements Required
At the BLU acceleration technology briefing last week there were additional impressive technologies unveiled. IBM’s Big Data solutions showed better outcomes for the beta customers talking during the sessions and along with these three following different solutions should be considered for your Big Data applications as soon as possible.
First, if your business executives are . . . → Read More: Big Data: IBM Big Data Improvements–More Than Just BLU
The International DB2 User Group (IDUG) North American conference is only a month away. This year IDUG is really going to be great because many DB2 related items are coming together and are sure to be detailed, dissected and discussed in depth at the conference. Below are the five most important reasons to make sure . . . → Read More: IDUG 2013: Five Reasons Why IDUG Orlando is going to be great this year!
Doing performance consulting, database system and application tuning exposes me to many different database designs. There are many different aspects to properly analyze a database schema design. The following five simple database design performance tips are the first five critical aspects that can be quickly analyzed and evaluated especially in the early stages of development.
. . . → Read More: Big Data: Five Simple Database Design Performance Tips
Processing rows inside the DB2 engine is always faster than trying to do the same processing within an application program or outside of DB2. A common program performance mistake is executing two SQL statements and then matching or merging the data inside the application. The DB2 engine processes the data faster through a single SQL . . . → Read More: Big Data: DB2 SQL Performance Is Faster Using OLD TABLE