This article explains how Change Data Capture (CDC) can streamline the process of replicating operational database changes into Apache Iceberg tables. It discusses two main ingestion strategies: direct materialization and using a raw change log with ETL, highlighting the trade-offs between simplicity and flexibility. It also addresses challenges in scaling CDC workloads, including partition layout and update strategies.