Tagged: DV2.0

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World Wide Data Vault Consortium key takeaways

Last week I attended the second iteration of the World Wide Data Vault Consortium (WWDVC) as hosted by Dan Linstedt in his home state Vermont. It was great to experience the uptake in Data Vault, going from a small group of practitioners last year to a bigger group with lots of new faces this year. Especially engaging was a day prior to the conference of in-depth discussions about various use-cases and technical solutions and improvements...

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NoETL – Data Vault Hub tables

In the previous posts we have loaded a proper data delta (Staging Area) and archived this in the Persistent Staging Area (PSA). In my designs, the PSA is the foundation for any form of upstream virtualisation – both for the Integration Layer (Data Vault) and subsequently the Presentation Layer (Dimensional Model, or anything fit-for-purpose). The Presentation Layer sits ‘on top off’ the Data Vault the same as it would be in the physical implementation so you...

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Minimal metadata requirements for ETL Automation / Virtualisation (and prerequisites)

At the Worldwide Data Vault conference in Vermont USA I presented the steps to automate the ETL development for your end-to-end Data Warehouse. We put a lot of thought in what would be the absolute minimum of metadata you would need to insert into the automation logic, as most of the details are already ‘readable’ from the data model (and corresponding data dictionary or system tables). Data Vault 2.0 defines a complete solution architecture covering...

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Data Visualisation, Data Warehousing and Big Data: one pitch to rule them all

Of the concepts that have emerged over the last few years, the ‘Data Lake’ is not one of my favourites. Although it has to be said I had a lot of fun out of various parodies on Data Lakes – which I’ll not repeat here! While I am on board with the cheap redundant storage concept it is clear that data management is still needed in this day and age (more than ever, really) and that concepts...

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Data Vault 2.0 – Introduction and (technical) differences with 1.0

While finalizing the content covering Data Vault implementation it is time to start looking forward towards Data Vault 2.0. For this purpose it makes sense to provide an overview of the changes between the two data modelling approaches. To limit the scope to implementation I’ll consider it sufficient to mention that Data Vault 2.0 (DV2.0) is a complete approach covering not only the modelling (that was already part of DV1.0) but also the layered DWH...