We will explore how leveraging Databricks' Unity Catalog has accelerated our FinOps maturity, enabling us to optimize platform utilization and achieve significant cost reductions. By implementing Unity Catalog, we've gained comprehensive visibility and governance over our data assets, leading to more informed decision-making and efficient resource allocation. Learn how Corning discovered actionable insights and leveraged best practices on utilizing Unity Catalog to streamline data management, enhance financial operations and drive substantial savings within your organization.

Data engineering is a requirement for any data, analytics or AI workload. With the increased complexity of data pipelines, the need to handle real-time streaming data and the challenges of orchestrating reliable pipelines, data engineers require the best tools to help them achieve their goals. The Databricks Lakehouse Platform offers a unified platform to ingest, transform and orchestrate data and simplifies the task of building reliable ETL pipelines.

This session will provide an introductory overview of the end-to-end data engineering capabilities of the platform, including Delta Live Tables and Databricks Workflows. We’ll see how these capabilities come together to provide a complete data engineering solution and how they are used in the real world by organizations leveraging the lakehouse turning raw data into insights.

Talk by: Jibreal Hamenoo and Ori Zohar

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