You could be forgiven for thinking life has just become a little complicated if you ever discover you have an elephant in the room… but what happens when you find one in your fridge?

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:

Over the past four or five years, demand for data engineers has been growing and growing as more and more businesses realise that data is their most valuable asset, well after their staff of course.

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.

Datavault has been given a major business accolade after being named south Hampshire’s Innovative Business of the Year for its dbtvault product. The News’ first-ever Innovation Awards saw Datavault beat off strong competition from the health, defence and maritime sectors to land the prestigious award.

This is the second part of an interview by our Andrew Griffin, who spoke to Barry about his experiences, and his thoughts about the future of the industry.

The last 18 months have seen the pandemic wreak unimaginable damage to the health of the world’s population and devastated the economic prospects of the strongest and weakest economies around the globe.

During my time as a Data Engineer, I have observed first-hand the process of testing Data Warehouses, communicating the results between teams and how this presents new and interesting challenges to overcome.