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
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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 When companies and projects are considering their Big Data applications, it seems that everyone forgets the decades of advancement, computing platforms and databases technologies have gone through. Platform and database are critical to the success of your company’s Big Data initiative and choosing a mature technology can help your project succeed and give your processing . . . → Read More: 3 Big Data Issues: Security, Governance and Archiving IBM announced its fourth quarter 2012 earnings and they discussed them last week at IBM Software kickoff that I attended with a few other Gold Consultants last week. The numbers speak for themselves and show that IBM’s Big Data solutions are being embraced by companies worldwide and probably your competitors. The discussion showed that Information . . . → Read More: Big Data: IBM’s Mainframe Customers Base Grows Actually working with Big Data versus hearing the hype of Big Data and NoSQL vendors continues to amaze me. If I see Volume, Variety, and Velocity as the description of Big Data one more time I won’t be able click away from the web page fast enough. So below are three main questions you should . . . → Read More: Big Data: 3 Questions to Ask When Comparing Relational to NoSQL Databases Big data is already here and is changing the data management dramatically within the industry, your company and its core business processes. Big data is going to impact your business and your data management practices and is going to have a significant impact within your company. The continued declining costs of storage and computing power . . . → Read More: Big Data Impacts Data Management: The Five Vs of Big Data Well the votes are in, 22 billion rows is big enough data. It’s not the billions of web logs rows of a Google or Facebook but its big enough for everyone. One of the comments that struck me was that one in a million happens 22,000 times. So whatever your criterion is for big data, . . . → Read More: More Success Factors for Handling Big Data and Data Warehouse Performance Part 2 Was 22 billion rows Big Data? As I began the new data warehouse project, I knew that the data warehouse performance needed to be designed from the very first data element. The new project was very interesting with complex calculations, cross referencing reports and Big Data implications and big data warehouse performance challenges. Many standard . . . → Read More: Three Success Factors for Handling Big Data and Data Warehouse Performance Part 1 |    | ||
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