Headless Data Architecture, Explained for Developers

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Introduces the concept of a headless data architecture, explaining its principles and benefits. Details how Apache Kafka and Apache Iceberg form the core of this architecture, enabling data streams and tables to be accessed independently by various processing engines. Discusses the role of schema registries and metadata catalogs for streams, and Iceberg's components (storage, catalog, transactions, time travel) for tables. Highlights benefits like reduced data duplication, cost savings, and flexibility in choosing processing tools. Contrasts headless architecture with data lakes and provides guidance on implementation.