• 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 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

    KEY BENEFITS

    • 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

    RESULTS

    • 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

    快猫 亿万狼友的选择