5 most common challenges with Data Vault modelling

Data Vault offers a highly effective data modelling technique for data warehousing. As with anything you learn more with experience. In this presentation, Neil Strange shares some of his insights into the challenges he has seen from dealing with many different types of clients in different industries.
Data modelling is an art rather than a science with the results each data modeller generates being unique. But Neil identifies five specific areas where people make mistakes when using Data Vault 2.0 to tackle data warehousing projects:
- Getting started
- Modelling to Extreme
- Units of Work
- Breaking the Standards
- Hubs or Links?
Use this video learn from other’s mistakes!
To learn more, join the Global Data Vault community! On platforms such as;
Meetup - www.meetup.com/UK-Data-Vault-...
The Data Vault User Group - www.ukdatavaultusergroup.co.uk/
Or find us on twitter for regular updates! @ukdvug

[@isinpresshenning]

Excellent presentation. This guy solves real world problems. I liked the way the talked about unit of work for the links.

[@Datavault]

Thank you for your comment!

[@MrRhysstevens]

Awesome examples, these are some of the issues we have discussed and it's great to see that we might have been right sometimes. Too many times we have discussed it to death and not built anything.

[@Datavault]

We are glad that you enjoyed it!

[@russellsearle7366]

Gert presentation Neil. You display a lovely style of communication. I recommend your videos to those coming to terms with DV for the first time

[@Datavault]

Thank you for your comment! We are glad they are useful!

[@georgepolskiy8411]

Thank you!

[@adityat8336]

Is there a next session continuation for this video..This is really good 👍

[@Datavault]

We are working on other sessions soon!