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From Pipelines to Purpose: What Data Engineers Should Know About Data Governance

40 minIntermediateSydneyMelbourne
Data GovernanceData EngineeringArchitectureBest PracticesStrategy

Description

Data governance doesn't have to be heavy, top-down, or bureaucratic. In this talk, we'll explore a pragmatic approach that data engineers can apply: Minimum Valuable Governance.

Abstract

Learn how to move just a few floors up the "data elevator" from the engine room of technical pipelines toward the strategic layer where business questions live. Through a structured "pay-as-you-go" methodology, you'll learn how to capture, implement, and validate the knowledge that matters most. The result? Smarter systems, clearer definitions, and reusable work that drives real value.

Key Takeaways

  • Understand the concept of Minimum Valuable Governance for data engineering
  • Learn how to bridge technical pipelines with business strategy
  • Master the pay-as-you-go methodology for data governance
  • Discover how to capture and validate critical business knowledge
  • Build smarter, more reusable data systems with clear definitions

Speaker

Juan Sequeda

Juan Sequeda

Principal Scientist & Head of AI Lab at data.world

Juan Sequeda is the Principal Scientist at data.world. He ...

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