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About Apache Hudi

Apache Hudi is an open-source data lakehouse platform designed to bring robust database functionalities, such as transactional guarantees and incremental processing, to large-scale data lakes. It leverages a high-performance open table format to enable minute-level analytics and replaces traditional slow batch processing with an incremental processing framework. This platform is ideal for organizations dealing with high volumes of streaming data, CDC (Change Data Capture) from databases, and those looking to build resilient data pipelines with ACID properties. It caters to data engineers, architects, and analysts who need to manage and query historical data, ensure data quality, and optimize performance across multi-cloud environments. Hudi's extensive integrations with various data streaming tools, databases, file formats, lake storage, data catalogs, data warehouses, interactive analytics engines, and data processing frameworks make it a versatile solution for modern data architectures. Key benefits include significantly faster ingestion and lower processing times, the ability to update and delete data efficiently with pluggable indexing, and automatic table services for continuous optimization. It also supports schema evolution and enforcement, ensuring pipeline resilience and preventing data corruption.