Last week I talked about how to get involved in the latest conversations about Big Data analytics. When working with the Big Data analytics, the end business users reporting tools are critical. Your older tools may not be up to today’s Big Data analytics capabilities, such as delivering answers to the “bring your own device” . . . → Read More: Big Data: Ten Criteria for Evaluating Analytics Reporting Tools (Part 1)
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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 With each new trend there is always the hype cycle and the technology readiness level. The new technology or new capability provides a unique way to solve or analyze a business problem. The hype cycle is the sales and marketing by magazine crowd. The technology readiness level evaluation provides more a tested and realistic point . . . → Read More: Big Data: Part1 – New Data Management Perspectives 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 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 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 in . . . → 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 |    | ||
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