Hello,
I am a BI consultant on a new project which exists to integrate data from outside enterprises as well as providing the data to users for analytic apps.
I find it incredible, but I am in the postion of having to justify why we need to include in our architecture not
just a data warehouse, but I need to justify why we would want to keep processed data in an independent data store (format does not matter) instead of keeping SOLELY in a proprietary data structure, (which is technically a stovepipe). The argument against me is that (1) we will deliver data in very small chunks via discreet queries to small databases required by the apps, and (2) we will do that via java-based API's from the proprietary database.
I need help in digging up rationales that my whole BI career has been built upon. I require a more academic approach.
Any idea where to find a series of bullets or do you have any?
Thanks Much!
- Lost in a stovepipe design
I am a BI consultant on a new project which exists to integrate data from outside enterprises as well as providing the data to users for analytic apps.
I find it incredible, but I am in the postion of having to justify why we need to include in our architecture not
just a data warehouse, but I need to justify why we would want to keep processed data in an independent data store (format does not matter) instead of keeping SOLELY in a proprietary data structure, (which is technically a stovepipe). The argument against me is that (1) we will deliver data in very small chunks via discreet queries to small databases required by the apps, and (2) we will do that via java-based API's from the proprietary database.
I need help in digging up rationales that my whole BI career has been built upon. I require a more academic approach.
Any idea where to find a series of bullets or do you have any?
Thanks Much!
- Lost in a stovepipe design