Building a Tactical Pricing Data Platform on Databricks

This presentation explores implementing an end-to-end Databricks platform, detailing its layered system architecture, data flow, and processing principles. It covers infrastructure aspects, including Lakeflow Jobs, cluster configurations, and pipeline workflows. Core processes, such as data ingestion, validation, transformation, and aggregation, are outlined for seamless operations. Additionally, data governance frameworks, monitoring strategies, and cost optimisation techniques are discussed...