The latest release of ClickHouse brings several exciting updates, including 18 new features, 30 performance optimizations, and 43 bug fixes. One notable feature is the introduction of support for Apache Iceberg, a high-performance table format that allows for efficient querying and management of data in data lakes. This feature enables schema evolution, automatic partitioning, and metadata management, making it easier to work with large datasets. Additionally, ClickHouse now supports computing correlation matrices, which can help summarize large datasets and identify strongly correlated columns. The release also includes support for Amazon MSK, a fully compatible Kafka Connect Sink for ClickHouse, and the GA release of the Metabase plugin for ClickHouse. These updates demonstrate ClickHouse's commitment to supporting its open-source ecosystem and providing users with powerful tools for data analysis and visualization.