The Simplest Way to Implement Data Observability!

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  • เผยแพร่เมื่อ 5 ก.ย. 2024
  • Data observability is essential for modern Data Engineering teams dealing with poor data quality. But it’s usually quite difficult to implement.
    In this livestream I intend to learn more about this from IBM Databand experts Ryan Yackel and Eric Jones. They'll showcase Databand’s new public API with top data observability use cases.
    Add the event to your calendar 👉 bit.ly/3Y1apjF
    With a Databand public API integration, you can track and define alerts for metadata like:
    ✅ State alerts for runs and tasks
    ✅ Duration alerts for runs and tasks
    ✅ Capturing logs for runs and tasks
    Join us and learn how you and your teams can easily integrate it into your existing data pipelines!
    Also check out
    ▶︎ IBM Databand: ibm.co/4eVOUGV
    ▶︎ 5 ways of monitoring data pipelines with Databand: • 5 Ways To Monitor Data...
    #datascience #bigdata #dataengineering #dataobservability #ai

ความคิดเห็น • 2

  • @PushkarkumarNayak
    @PushkarkumarNayak หลายเดือนก่อน +4

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