Data Nessie is an open-source version control system designed for data lakes, offering Git-like semantics to manage and track changes in data catalogs. It enables data engineers, scientists, and analysts to apply version control principles to data management, facilitating isolated data experimentation and ensuring consistent, auditable, and reversible data evolution. Key Features and Functionality: - Branching and Merging: Allows users to create branches for experimenting with data without affecting the main branch, and merge updates when ready, enhancing collaboration and flexibility. - Time Travel and Rollbacks: Provides the ability to retrieve previous versions of the data catalog, ensuring that no data change is ever truly lost and facilitating auditing and debugging. - Compatibility with Popular Data Processing Tools: Integrates seamlessly with various data processing tools and platforms, including Apache Spark, Dremio, Flink, Trino, and Presto, allowing teams to continue using their preferred tools while benefiting from Nessie's version control capabilities. Primary Value and Problem Solved: Data Nessie addresses the complexities inherent in modern data platforms by providing a robust foundation for data governance and security. By decoupling data and metadata management from the underlying storage system, it supports a wide array of storage backends, making it a versatile tool in the data engineer's toolkit. Its Git-like functionality enhances collaboration among data teams and introduces flexibility and safety not previously available in data management.