Introduction to Data Vault Modelling with Hans Hultgren

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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.
Join DAMA Southern Africa for more webinars:
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Follow Howard Diesel & Hans Hultgren on LinkedIn:
linkedin.com/in/howarddiesel-infogovernance
/ hanshultgren
For more information on our services:
dama.org.za
INs and OUTs of Data Modelling 2023-02-06

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11 сен 2024

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@alan2a1l 8 месяцев назад

Issues with satellite uniqueness (only one at a time) requires some extra work to nail down the attribute typing in cases where it often hasn't been before. E.g. Customer Business Phone -- if there is more than 1, you may need to nail down the difference between 1 number and another. There may be 2 Business Phones for a single business, but they will generally have a different function within the business. Main vs. Fax vs. Sales vs. Whatever. There are cases where they're interchangeable, but they usually resolve to some particular function/type. That's a rabbit hole for all kinds of such edge cases.