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Last week I talked about five new data management perspectives that are driving Big Data. In Part Two of Big Data New Data Management Perspectives I would like to focus on the Big Data analytics. In my blog over the years I have mentioned how business analytics are making the difference between winning companies and . . . → Read More: Big Data: Five Ways to Get Analytics Started In last week’s blog post on company and government analysis of our digital footprints, I mentioned several aspects of the Big Data digital horizon. The last point that I made in that post about the other data aggregators was highlighted in the movie preview of “Terms and Conditions May Apply” that details these data . . . → Read More: Big Data: 3 Criteria for Invaluable Analytics 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 Instruction . . . → 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 start-up . . . → 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 |    | ||
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