In the latest Data Vault User Group meet-up, Christopher Siegfried, senior architect at Infovia, presented on “why you need a Data Vault for your Data Vault”

As financial services organisations expand across multiple countries, they face growing technology constraints and inefficiency from diverging code bases.

As with any new technique, you learn through experience. But to get you going, here are 5 common mistakes to avoid when you start data modelling with Data Vault.

Data Vault is a modern approach to data platform design and implementation that supplies an efficient, secure, and flexible way to store and manage substantial amounts of data.

You already know what Data Vault is, but how do you know if it’s worth the investment for you and your business? Keep reading to find out how that Data Vault can help you take back control of your data and elevate your business’s potential.

Data Vault 2.0 is a modern approach to data warehousing that supplies an efficient, secure, and flexible way to store and manage substantial amounts of data.

Data Mesh and Data Vault can be compared to onions and apples. Both look the same from the outside, but the properties of each are far different.

Did you know that Data Mesh and Data Vault can work extremely well together? In this blog post, we’ll tell you how.

We have recently published an updated third version of our popular Data Vault Technology Landscape and the accompanying Guide.

This year’s World Wide Data Vault Consortium (WWDVC) conference– held in Vermont – provided the first opportunity for the movers and shakers in the Data Vault world to get together face-to-face in three years.

Data Vault 2.0 is a concept for designing Data Warehouses. Invented by data warehouse guru Dan Linstedt it has many technical advantages, but it also has significant business benefits:

The Data Vault method has been around since the early 2000’s and has evolved and matured into the method of choice for many corporates. Even after such a long time, awareness and understanding are lower than you would expect and there isn’t much information about it on the web.

This blog is the third and final part of the series based on a Keynote talk at this year's World-Wide Data Vault Conference on the role of Data Vault 2.0 in supporting Data Science. The third blog goes through how to apply patterns to Data Science Projects.

This is the second part of a four-part blog series based on a Keynote talk at this year's World-Wide Data Vault Conference on the role of Data Vault 2.0 in supporting Data Science. The second blog explores lessons from a use case in academia.

This is the first part of a three-part blog series based on a Keynote talk at this year's World-Wide Data Vault Conference on the role of Data Vault 2.0 in supporting Data Science. The first blog focuses on how to feed data to Data Science Projects.

Patrick Cuba has worked as a consultant specialising in data modelling on SAS platforms for more than two decades. Having worked in South Africa, Australia and the UK, he first worked on a Data Vault project less than five years ago.

Australia is renowned as a surfer’s paradise, and Patrick Cuba’s recently published book ‘The Data Vault Guru: A Pragmatic Guide on Building a Data Vault,’ is certainly attracting a wave of interest.

A question that is often asked by those approaching Data Vault for the first time is, “what are the major benefits of incorporating Data Vault 2.0 into my new data platform design and delivery?

Data analytics consultants, Eckerson Group, predicted a year ago that 2020 would be ‘The year of Data Vault‘. According to our CEO Neil Strange that has certainly proved to be so. Businesses are gathering pace with their plans for 2021 and beyond, with digital transformation increasingly important in many walks of life.

Apart from making New Year resolutions, January normally starts with the problem of what to do about unwanted Christmas presents. Socks have been the staple gift for generations – well for men – for family members stuck with what to buy someone for Christmas, and are unlikely to go away.