The shocking truth is that Chief Information Officers (CIOs) are being convinced that hand-coding their Data Vault solutions is a good idea. This is a mistake. There are two groups who convince the CIO to make this expensive mistake. I have seen examples of both in recent weeks.

Successful businesses are always looking for ways to streamline and optimize their data workflows. The combination of AutomateDV, Data Vault, and dbt Cloud offers a powerful solution for data teams aiming to build a robust Data Mesh.

In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the Data Mesh framework. The Data Mesh approach distributes data ownership and decentralizes data architecture, paving the way for enhanced agility and scalability.

We recently rebranded our popular Data Vault automation tool from dbtvault to AutomateDV. The open-source tool provides an opportunity for anyone to build a Data Vault.

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

erwin is best known for its market leading data modelling software but is increasingly being recognised by industry analysts for its data governance capabilities in the form of the erwin Data Intelligence Suite. Indeed, Gartner has put them in the Magic Quadrant for Metadata Management Solutions (Nov. 2020).

It is still less than two years since Snowflake floated on the New York Stock Exchange, raising $3.4billion – one of the largest flotations by a software company in corporate history. The rapid growth of the American cloud-based data warehousing company has helped create a large tailwind of business opportunities across the industry.