Enabled Data-Ops on Cloud for a North American Telecom Giant


Client faced challenges in making data accessible on-time, without costs, delays, and data quality issues

Local copies of data scattered in the ecosystem made the data unreliable and increased storage costs
Data delivery to consumers on-time had to wade through long request queues
Lack of skillsets to derive insights from data further added to data complexity issues


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 that classified requests into zones based on repeatability and use
  • Implementation of a metadata-driven governance system focused on UI to capture datarequests
  • 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 to create a dynamic, auto-scalable ingestion layer based on workload

Key Benefits

  • Azure native solution easily integrable with Collibra governance platform powered by Rest-API for an organization wide transparency
  • Manages record changes via 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 needed


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The time taken to on-board data decreased to a 24-hour interval

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Overall storage and computing cost reduced by 30%

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One platform – to bring your own data, Platform & data services and Insights services

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