The approach to address the client’s challenge included:

  • Setting up a central Cloud-Data warehouse as a single source of truth
  • Laying the foundational data-architecture which classified requests to zones based on repeatability and usage
  • Introducing a metadata driven- UI based governance framework to capture data-requests
  • Building re-usable frameworks to enable the platform to serve personas with data requests, platform usage requests and insights requests
  • Harnessing the power of Data-Bricks on Azure for workload based dynamic, auto-scalable ingestion layer creation


  • Azure native solution easily integrable with Rest-API driven governance framework on Collibra for organization wide transparency
  • Handles, changing records, unified streaming, and in-built data-quality layer using the delta-lake feature of data-bricks
  • Loosely coupled frameworks for logging/Alerting & monitoring which are cloud-agnostic and can be re-configured and used as need be


  • The time to on-board data decreased to a 24-hour cycle
  • Overall storage and compute cost slashed by 30%
  • One platform – For Bring your own data, Platform & data services and Insights services