Why is Agile Data Warehousing Important?
It is difficult to translate a software development methodology to data warehousing, but it can be done. In this interview with TDWIs David Stodder, Bruce Szalwinski discusses the value found in Cobalts commitment to the iterative style and incremental delivery of agile development for data warehousing.
60 Seconds Smarter: Data Modeling
Tackling tough tech in a minute or less. This episode explores Data Modeling with Steve Hoberman, Data Modeling expert, author and educator.
Lean business intelligence means getting the most from your processes and implementations. Emerging tools have made an agile approach easier, but there is plenty of work to be done in terms of refining enterprise BI methods.
The concept of big data carries lofty business hopes for unearthing nuggets of hidden data and patterns. Before we start stacking up the ROI, lets take a look at possible growing pains with the tech and strategy of big data implementations.
Here are half-dozen problems big data will probably make worse in the near-term.
