Simplifying Lakehouse Observability - Databricks Key Design Goals and Strategies

Explore Databricks' Lakehouse Observability in this 31-minute conference talk presented by Greg Kroleski, Product Manager at Databricks. Discover how the company integrates observability solutions directly into their Data Intelligence Platform to provide users with essential tools and insights for running successful data, analytics, and AI initiatives on lakehouse architecture. Learn about key design goals aimed at leveraging existing expertise and streamlining the monitoring and optimization of data and AI workflows. Gain insights into how Databricks is making Lakehouse Observability more accessible to support the next generation of data-driven applications. The talk also provides additional resources for further exploration, including information on the rise of data lakehouses and lakehouse fundamentals training.

Simplifying Lakehouse Observability: Databricks Key Design Goals and Strategies