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Stream Kafka Topic to the Iceberg Tables with Zero-ETL
A solution from AutoMQ: open-sourced + no need for ETL pipeline maintenance
LinkedIn generated vast amounts of log data, from user activity events (like logins, page views, and clicks) to operational metrics (service call latency, errors, or system resource utilization). This can be achieved because table formats like Iceberg native support schema evolution over time, such as adding new columns, dropping existing ones, or changing data types, without requiring the complete rewriting of the entire dataset or disrupting downstream applications. The Workers are responsible for the writing process: converting Kafka records into Parquet data files, uploading them to object storage S3, and committing the metadata to the Iceberg catalog.
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