Data warehousing is evolving from centralized repositories to logical data warehouses leveraging data virtualization and distributed processing. Make sure you’re not using old terminology to explain new initiatives.
This is a continuation of my series on "Five Tips for Leading Agile Data Management Development Teams." Here, I discuss the third tip: Provide coaching and advice as needed — to both self-managing teams and individual team members.
Considering a data warehouse system? Download this free report for side-by-side comparisons of rival products from Oracle and HP Enterprise, based on reviews written by enterprise users of the products.
Big data is now a familiar term in most of the business world, and companies large and small are scrambling to take advantage of it. Data exhaust, on the other hand, is less widely known, and in some ways it's an evil twin brother.
A key concept in agile development is increased partnership among IT and business partners. In enterprise data management and business intelligence, this increased partnership can only make things better. There can be a role for IT...