The Race For Data Quality in a Medallion Architecture

Presented by Christopher Berg

Would you like help maintaining high-quality data across every layer of your Medallion Architecture?

Like an Olympic athlete training for the gold, your data needs a continuous, iterative process to maintain peak performance. We will cover how Data Quality Testing, Observability, and Scorecards help you build accuracy, consistency, and trust at each layer—Bronze, Silver, and Gold. Discover how to make quality testing a built-in practice, empower your team to act fast, and ensure reliable insights from raw data to analysis-ready reports.

Whether you’re facing delayed data mismatches or need real-time quality assurance, we’ll give you practical tips and tools to keep your data flowing flawlessly.

What to Expect:

  • Winning Strategies for Each Medallion Layer: Discover how to tackle the unique data quality challenges of Bronze, Silver, and Gold layers in Medallion Architecture.
  • Get the DataOps Advantage: Learn how to apply DataOps to monitor, iterate, and automate quality checks—keeping data quality high without slowing down.
  • Practical Tools to Sprint Ahead: Dive into hands-on tips with open-source tools that supercharge data validation and observability.

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