~/talk

Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh

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Intuit reworks data pipelines onto Kubernetes to serve a self-serve Data Mesh that handles 100,000 data pipelines and 1000+ engineers; runtime uses Apache Spark and Flink on k8s with Argo, Kafka and S3, plus orchestration, checkpoint and DR layers. A domain-driven data map / data product model registers assets, SLAs and stewarded schemas (about 900 products in flight), and the platform visibly reduces discovery friction and speeds productized data delivery.

AI-written summary · about

  1. 0:00Introduction to Intuit
  2. 2:19Data mesh concepts
  3. 5:32Data lake and data products
  4. 10:45Data map architecture
  5. 17:56Data processing platforms
  6. 23:02Q&A and closing remarks
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