When do we stop learning and improving data warehousing techniques?
Never!
One of the core messages of the webinar was that this methodology was still in its infancy, a toddler.
The old approach to building enterprise data warehouses has yet to be successful due to the flexibility and time to create reliable data models to support the growth of the business and an agile approach.
The direct jump to data marts also didn't help. Yes, it got the reports out quicker, but it led to multiple contradictory versions. The Puppini bridge did a lot to fix this issue.
These alternatives do not nullify the data warehousing principles and critical capability to prepare data to provide reliable business insights.
Hans Hultgren's appeal to us is to think differently!
We should never stop thinking differently but be careful not to walk off the path of our chosen approach.
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INs and OUTs of Data Modelling 2023-02-06
11 сен 2024