Introducing Iceberg output for Redpanda Connect

Apache Iceberg has emerged as a preferred table format for teams looking to make streaming data queryable in a lakehouse, but the process often involves complex infrastructure and hidden costs. To simplify this, Redpanda has introduced the Iceberg output for Redpanda Connect, a component that allows for direct writing of streaming data to Iceberg tables from a declarative YAML pipeline. This integration enables data transformation, enrichment, and routing before the data reaches the lakehouse, supporting multiple data sources beyond Kafka streams. The Iceberg output leverages Redpanda Connect's ecosystem of inputs and processors, allowing for versatile data handling, including schema evolution and efficient resource usage. It supports integration with various REST catalog APIs and offers enterprise-grade governance, making it a lightweight yet powerful tool for managing data pipelines. The Iceberg output is designed for both high-throughput, standard Kafka-to-lakehouse processes and more complex pipelines involving non-Kafka sources, providing flexibility in data routing and transformation.

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