- Datawarehouse is treated like any other application in the company and same people put it through the same process that worked for other applications.
- Lack of understanding of the mess that the application sources to data warehouses are in and an optimistic expectation of data quality.
- Lack of understanding of the columes of data involved and the false expectations that the vendors set. Yes SSAS will work for this volume we were told. But in reality a vastly toned down version with 10 % of requirements will work on a 64 cpu box we found after months of work.
- .....
I am often asked usually by programmers - What is Data Warehousing & how do I learn it? I explain to them we use all the same tools that you do but differently. That’s when I coined the term Data Sense. It describes the essence of Data Warehousing and separates Data Warehousing from rest of Programming. Every aspect of IT from Hardware / Software infrastructure to Design, Development and QA is done with massive data flows and need for data precession accuracy and meaning.