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

Summary

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

Approach

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

Results

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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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