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Explore Apache Flink SQL on Confluent Cloud through an interactive 20-minute demonstration focused on Change Data Capture (CDC) for building real-time data pipelines. Master the fundamentals of syncing and transforming data into valuable business insights while seamlessly integrating with Apache Kafka and data warehouses. Begin with an introduction to Change Data Capture concepts and get an overview of Debezium connectors before diving into table structures and live CDC demonstrations. Learn about schema evolution handling and understand the Debezium envelope format for processing change events. Build enriched customer data products and create sales data products using temporal joins to combine streaming data with historical context. Discover Tableflow capabilities for working with Iceberg and Delta Lake formats, implement rolling 30-day customer activity analytics, and sync data with Amazon Redshift. Visualize your data pipeline architecture through stream lineage tools to understand data flow and dependencies across your entire system. Gain practical experience with real-time data processing, stream processing patterns, and modern data architecture approaches using industry-leading tools for building scalable, event-driven data platforms.
