Welcome to the Webinar Series: Towards Data Lakehouse Architecture
In federated data architectures, balancing team autonomy with accountability is a persistent challenge. In this on-demand webinar recording, ASML and Xebia share how they addressed this challenge by introducing a pragmatic governance model built on Databricks System Tables and powered by Lakewatch.
Recorded live during a joint presentation at GoDataFest, this session shows how raw platform telemetry is transformed into actionable governance scorecards for cost efficiency, operational excellence, and best-practice adoption—without slowing down domain teams.
You’ll learn how this approach:
- Enables centralized governance while preserving domain ownership
- Provides clear, data-driven insights into platform usage, cost, and quality
- Eliminates governance bottlenecks through automation and transparency
- Turns governance from a control mechanism into an enabler for scale
Register now to watch the full session on demand.
Meet the Speakers:
Frank Mbonu
Data Engineer, Xebia
Experienced full-stack data engineer with over 5 years of experience in Data Engineering, Software Engineering, Machine Learning Engineering, and Cloud Engineering. His background encompasses the entire data value chain, from the initial stages of raw data ingestion to the industralization of machine learning models.
Cristiano Rocha
Principal Engineer
Experienced Data Engineer and Analyst with a Professional Certification focused in Big Data Analytics from Massachusetts Institute of Technology and a Professional Certification focused in Machine Learning from Stanford University. Strong information technology professional with a demonstrated history of working in the government administration industry. Skilled in Big Data, Data Engineering, Data Analytics, Hadoop, Open Data, Oracle Database, and Business Model Development.
Go deeper with Databricks Lakehouse Optimization
Interested in applying this governance model in your own Databricks environment?
Lakewatch helps organizations turn Databricks System Tables into actionable insights—driving cost optimization, best-practice adoption, and platform accountability at scale.
👉 Explore the Lakewatch offering and discover how we help teams govern their lakehouse without slowing innovation.