Implementing a Lakehouse Architecture with Apache Iceberg
Introduction In the realm of big data, the lakehouse architecture merges the flexibility and scalability of data lakes with the management features of traditional data warehouses. Apache Iceberg, an open table format, enhances this architecture by providing robust data handling capabilities. This article explores how to implement a lakehouse architecture using Apache Iceberg, complete with reference architectures and process flowcharts. What is Apache Iceberg? Apache Iceberg is an open-source table format designed for massive analytic datasets. It supports fine-grained incremental updates and deletes, schema evolution, and time-travel queries without compromising on read performance. These features make it particularly suited for managing data in a lakehouse architecture, which seeks to bring together the best of data lakes and data warehouses. Reference Architecture The following diagram illustrates the reference architecture for a lakehouse using Apache Iceberg: Reference Architectur...