Catalog

This chalk talk explores architectural patterns that can elevate data management capabilities of an Apache Iceberg data lake including the write-audit-publish (WAP) pattern for ensuring data quality, the slowly changing dimensions (SCD) Type 2 pattern for tracking historical data changes, and the change log view pattern for enabling historical record retrieval and change data capture. Dive into the practical implementation of these patterns and discover the benefits they offer in terms of data integrity, auditability, and adaptability to evolving requirements. Learn how to build robust, scalable, and future-proof data architectures that can effectively handle complex data management challenges.