Posted by Dylan Wan on January 2, 2014
One of the books I like most about data warehousing is the book e-Data, written by Jill Dyche. Here is a paper she co-authorized with Thomas H. Davenport about Big Data:
Thomas H. Davenport is the author of the book Competing on Analytics, which is also a book I own and found interesting.
I cannot agree more about these two points they mentioned in the above executive summary:
- Overall, we found the expected co-existence; in not a single one of these large organizations was big data being managed separately from other types of data and analytics. The integration was in fact leading to a new management perspective on analytics, which we’ll call “Analytics 3.0.”
- “It’s important to remember that the primary value from big data comes not from the data in its raw form, but from the processing and analysis of it and the insights, products, and services that emerge from analysis.”
I feel that what customers may really need is an integrated prepackaged BI apps that is built on an integrated BI platform and the associated tech stacks that can handle big data together with the other existing enterprise data. Building an non-integrated big data data warehouse is time consuming and may not get a good balance of the cost and the benefit. The non integrated big data data warehouse may work well for the specialized firms for special purposes. However, when we think of leveraging the big data technology in the enterprise, integration with the existing data warehouse is the key for success.