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In this technical deep dive, we will detail how customers implemented data mesh on Databricks and how standardizing on delta format enabled delta-to-delta share to non-Databricks consumers.

  • Current state of the IT landscape
  • Data silos (problems with organizations not having connected data in the ecosystem)
  • A look back on why we moved away from data warehouses and choose cloud in the first place
  • What caused the data chaos in the cloud (instrumentation and too much stitching together) ~ periodic table list of services of the cloud
  • How to strike the balance between autonomy and centralization
  • Why Databricks Unity Catalog puts you in the right path to implementing data mesh strategy
  • What are the process and features that enable and end-to-end Implementation of a data strategy
  • How customers were able to successfully implement the data mesh on out of the box Unity Catalog and delta sharing without overwhelming their IT tool stack
  • Use cases
  • Delta-to-delta data sharing
  • Delta-to-others data sharing
  • How do you navigate when data today is available across regions, across clouds, on-prem and external systems
  • Change data feed to share only “data that has changed”
  • Data stewardship
  • Why ABAC is important
  • How file based access policies and governance play an important role
  • Future state and its pitfalls
  • Egress costs
  • Data compliances

Talk by: Surya Turaga and Thomas Roach

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

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