The Story

The client required two Azure DevOps engineers to build a centralized data solution that could govern different sub-entities within a unified system. The objective was to create a Whole-of-Entity solution that managed data and metadata across multiple data products. They needed a robust governance framework to ensure seamless data integration and standardization across their ecosystem.

Our client is a leading AI and Data Consultancy based in the Middle East, specializing in transforming data into business value through AI adoption, data governance, and innovative data-driven solutions.

Sanjay Sankhla

Lead DevOps Engineer

Challenges

• > Rising demand for data handling.

• > Ensuring data cataloging, quality, and governance for multiple sub-entities.

• > Absence of a cloud platform and challenges with on-prem data collection.

• > Networking and connectivity issues between on-prem and Azure services.

• > Azure product limitations, such as Purview’s cap on collections.

• > Compatibility issues with various PAAS services.

The Solution

We developed a data accelerator by integrating Azure PAAS and SAAS services for seamless data flow and governance. Using Microsoft Purview and data tools, we built a private, secure network linking Azure and on-prem sources through private links. The solution enabled efficient data governance, cataloging, and quality control while automating cloud service setup in a secure and compliant manner.

The Outcome

The client successfully launched a comprehensive data platform powered by the data accelerator. This solution ensured a fully governed, end-to-end data flow with secured networking, limited user access, and seamless data governance, meeting their operational and compliance requirements effectively.