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.
Before you can look for the proverbial needle in the haystack, you need to know why youre looking at the haystack at all. When it comes to stacks and streams of unstructured data, there is a developing pool of best practices and industry-specific approaches.
Here are 6 examples of organizations experiencing success as they dig for newfound insights in unstructured data.
