Getting started with Iceberg Topics on Redpanda BYOC

Apache Iceberg has established itself as a leading open standard for large-scale analytics table formats, offering features like schema evolution, time travel queries, and ACID transactions. Its compatibility with various engines such as Spark, Trino, Flink, and now Apache Kafka-native platforms like Redpanda, makes it an attractive choice for modern data infrastructure teams. Redpanda 25.1 introduces Iceberg Topics, a Kafka-Iceberg streaming data solution available across multiple cloud platforms, which allows for automatic storage of Kafka topics in open table formats like Iceberg. This integration enables users to query streaming data using SQL through systems like Snowflake, Databricks, Google BigQuery, or Amazon Athena, providing full control over Iceberg data without compromises. The new feature offers a self-service configuration of Iceberg settings and direct integration with popular REST catalogs alongside secure credential handling. Additionally, Redpanda BYOC increases partition density, allowing for greater scalability and efficiency in data processing, further enhancing its appeal to data-driven teams.

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