All types of systems exist, and they were developed for the primary purpose of showing something that needed to be discovered or verified, or have its actions revealed. After specializing in data management for a long time, I am not surprised by the latest data disclosure about the government collecting any type of data on . . . → Read More: Big Data: 3 Reasons to “Get Over It!”
|
|
||
|
When developing any new IT initiative, estimating a good return on investment is paramount for getting upper management support and funding. With all the buzz about Big Data hitting every magazine and financial TV show, the budget process may be a little easier, but not by much. The best way to get your project funding . . . → Read More: Big Data: 4 Business Areas to Examine for Your Big Data Projects When determining the evaluation criteria for your Big Data project, you need to consider a range of different data inputs, their quality, and expected results. These aspects can span a wide range of topics and different areas. Discussing your Big Data evaluation criteria with management can bring many different ideas to the table to be . . . → Read More: Big Data: Three Criteria to Big Data Project Success 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 Database management performance continues to advance with the latest IBM BLU Acceleration technology improvements unveiled today. The IBM BLU Acceleration technology features new innovations from the IBM Research and Development Labs that literally dramatically cuts Big Data issues down in size, provides incredibly faster development time and operational production answers quickly. The new IBM . . . → Read More: IBM BLU Acceleration – Best Yet for Big Data!! 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 Companies are more stressed and looking for every advantage or differentiator to gain the competitive advantage. Working with Big Data is in IT fashion as a way to gain new insights from customers, suppliers and partners for delivering the best products, customer service and profits. Executing these Big Data initiatives is always an interesting opportunity . . . → Read More: Big Data: 3 Keys for Effective Big Data Success |
 
  |
|
|
Copyright © 2013 Dave Beulke - All Rights Reserved | Privacy Policy | Refund Policy |
||
