Azure Data Framework

At Cloubis, we strive to implement an efficient, unified and automated solution – using best practices derived from past projects – and experiences of colleagues. As a result, internal effort is invested to create and maintain an Azure Data Platform framework, to ensure low time to market and quality of the solution.

Our data engineers craft cutting-edge data platforms designed to gather, secure, and centralize your organization’s valuable data assets. By developing, testing, and implementing robust data pipelines, we ensure that your data is not only collected from a multitude of sources but is also transformed into a streamlined and centralized data warehouse or lake — ready for strategic decision-making.

Our Azure Framework is based on the end-to-end analytics reference architecture from Microsoft. This offers a strong and unified foundation of which the principles are perceived as market best practice, which makes it easier to explain, develop and transfer knowledge. Furthermore, we achieve horizontal and vertical scalability as we are respecting and building upon the base principles of a data lakehouse.

Azure DevOps is the preferred tool for project management, version control and release management.

Using version control software is a best practice for high performing DevOps teams. Version control helps data platform team members develop faster and allows the team to preserve efficiency and agility as the team scales to include more developers. Next to this, as your pipelines become business critical, it is important to be able to track changes over these prominent workflows.

It’s powerful when you can treat data pipelines as a product. For data lifecycle management, automated deployment methods serve as a guardrail that makes it easier to test and release data to the production environment. Automated deployment ensures a stable data platform for which development cycles and new features can be introduced at a fast, iterative pace.