Expanding upon the insights shared in the fundamental part 1 session, this deep dive session will focus on building two comprehensive use cases within the Lakehouse Platform.
The first use case revolves around constructing a customer 360 platform designed to minimize churn, while the second use case involves building an FSI Lakehouse for credit decision-making. Throughout the session, we’ll showcase the entire data engineering and ML process employed to develop these use cases, providing a comprehensive understanding of how to leverage the Lakehouse Platform effectively.
In addition to the use case development, we’ll delve into various features that enhance the Databricks experience. Discover the power of Delta Live Tables (DLT), MLflow, data science workspace, Unity Catalog and DB SQL, and learn how these features contribute to the seamless construction of end-to-end solutions.
Additionally, we’ll provide information on accessing more Databricks Solution Accelerators for various verticals, complete with sample code for you to try in your own environment.
Join us for this Migration Masterclass (Technical) session and unlock the potential of Databricks Solution Accelerators and ML processes.