When I google around, reading about data warehousing, I am amazed about the many aspects related to this subject and ditto discussions. Do we still know why we have all these discussions? What is so important about architecture, agile, data lakes, data vault 2.0, DevOps etc, etc? In my opinion we discuss and implement all these theories, methodologies and frameworks to be able to design and implement 'standardized' data warehouse solutions which are maintainable and sustainable in the long run. As an exercise over Christmas 2017, I created a mind-map containing many “keywords” buzzing around on fora, LinkedIn and articles related to data warehousing. It is not my intention to discuss the details of this mind-map; to be complete or to be correct. But I do like to point out something. For a long time, I have a nagging feeling that there are aspects which are ignored or not much talked about. Aspects which are at least so important as where the buzzing is about right now.
Opinions around Business Intelligence, Data Analysis and Data Warehousing