by Karen Lopez Where Should the Division of Responsibilities Lie Between Data Modeler and DBA? In the past, data architects/modelers have been primarily responsible for preparing logical data models, then they threw models over the wall to the DBAs who said “what the heck is this?” and then did their own physical models (or reasonable facsimile…
by James Kobielus You can’t shut down a community and expect it to spring back to life at a later date, picking up exactly where it left off. Living communities cannot be reinvented from scratch. They must continue to support all normal operations – albeit awkwardly – while key infrastructure is being repaired, improved, or…
by Ian Rowlands There’s a wonderful idea in particle physics called a “Grand Unified Theory.” These theories unite the interaction of forces – and if ever one can be proved to be true then all these basic physical forces will be aspects of the same force. (OK, yes physic geeks, I’ve really over-simplified it, please…
by Vijay Dheap As a result of recent global cyberattacks and high profile data losses, the need for security intelligence is making headlines in both the media and the boardroom. In the past, the public reaction to compromised data was one of surprise angst. Now, the reaction resembles more of a desensitized, However, cyber-crime is…
In September 2012 I interviewed three women who have inspired me and many others in Data Management. The article titled Inspirations for Women in Data Management was well received and continues to resurface here and there a year-and-a-half later. In that time I have certainly met more women who are truly inspirational to me and…
by Karen Lopez Last year I hosted a session on Getting Started in Blogging for Data Professionals at Enterprise Data World. I had a great turnout considering the topic and time (I think 50+ people). We had a good discussion about blogging, social media and how most of the discussions on the Internet had moved from…
by Brett Neuman I recently read a post on Forbes by Prakash Nanduri where he makes his 5 predictions for Business Intelligence in 2014. I really enjoyed this article and I think most of his points are dead-on. In general Prakash talks about the fact that BI is no longer a new science anymore and…
by James Kobielus Advanced algorithms power the engines of statistical analysis, but they’re not invisible ghosts in the machine. Instead, data scientists compose and tweak algorithms visually, writing the underlying code and then exploring the resultant visuals to see how well they distill the correlations, classifications and other patterns in the data. Data scientists rely…
Happy New Year to everyone! Hope everyone’s year is starting off exceptionally well. And if you’re wondering what was hot in 2013, and what will be trending through 2014 in the world of Data Management, we’ve compiled some content for you on just those things: 2013 in Review plus 2014 Predictions. We are well under…
by Anjul Bhambhri This past year was one of explosive growth for the big data market, and 2014 is sure to be another. Throughout the past twelve months, my colleague, James Kobielus, and I have contributed our thoughts on numerous data related topics, including data confidence, real-time analytics, the Internet of Things, and expert integrated…
