From Day-Old Data to Real-Time Retail: Modernizing CDC With Spark Declarative Pipelines and Lakeflow

Retail operations depend on accurate, timely data, but many organizations still rely on legacy change data capture approaches that behave like batch pipelines, creating delays, data inconsistencies, and operational risk.In this session, we share our real-world journey modernizing ingestion from a retail depot management platform.We will discuss the successes and pitfalls, and how we crafted and curated our new solution iteratively, with the use of new Databricks functionality such as AutoCDC and Lakeflow Connect. Transforming our complicated, cumbersome legacy solution into a streamlined and scalable workflow.