Webinar: Data Quality in a Medallion Architecture – 2024

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

Written by Chris Bergh on December 6, 2024

DataOps Data Observability DataOps TestGen On-Demand Webinar Open Source

Webinar: Data Quality in a Medallion Architecture – 2024

Key points

The three layers do different jobs, which is why one quality gate does not cover them. Bronze is the raw landing zone, Silver applies just enough cleaning to produce a unified view of core business entities, and Gold holds refined, aggregated, analysis-ready data in project-specific schemas.
The naming is not standard. Some organizations add a Platinum layer after Gold, others call the same three layers L1, L2, and L3 — and Medallion is becoming very popular inside the data lakehouse.
Each layer has its own failure mode, so the session walks the challenges and then the tests separately for Bronze, Silver, and Gold rather than treating quality as a single checkpoint.
This is not a Medallion-only problem. Traditional raw/staging/warehouse/mart stacks, Kappa and Lambda streaming architectures, data mesh, and plain data lakes all need data quality testing too.
Development needs its own testing. Regression testing across the Medallion layers is how you find out you did not break production before you deploy, rather than after.
The practices that hold the whole thing together: find data errors before your customers do, find them as early in the processing as possible, automate the checks instead of doing them by hand, count your errors, and start with a data quality circle in a no-blame, no-shame culture.

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 covered how Data Quality Testing, Observability, and Scorecards turn data quality into a dynamic process, helping 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.
Want more detail? Read the popular blog article.