Join us for a deep dive into building real-time data pipelines that power a SQL-based lakehouse architecture on Databricks. We’ll walk through how to ingest operational data from SaaS and databases into Databricks using ELT workflows, change data capture (CDC), and schema evolution best practices. In this session, you’ll learn: - How to implement real-time CDC pipelines for Databricks using SQL - Strategies to scale ingestion from operational systems without bottlenecks - Techniques for managing schema drift and building a resilient ELT process - How modern data teams are accelerating analytics with lakehouse architectures Ideal for: Data engineers, architects focused on Databricks lakehouse.