We examine how RocksDB, Apache Fluss, and distributed caching layers address scaling challenges, providing both architectural guidance and practical configuration examples for production deployments.
In this post, we'll explore different approaches for ingesting Kafka data into Iceberg tables, examine strategies for managing schema evolution, and discuss when to choose one method over another based on your specific use case.