Intro to Apache Iceberg with Apache Polaris and Apache Spark
Read OriginalThis article provides a comprehensive tutorial on implementing a data lakehouse using Apache Iceberg. It explains Iceberg's role in enabling interoperability, details table structure, and demonstrates practical operations like creating tables, inserting data, updates, deletes, merges, and time travel using Apache Spark. It also covers optimization strategies, the role of Apache Polaris for metadata management, and next steps for expanding a lakehouse architecture.
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