A number of new technologies, most notably Apache Iceberg, have recently made traditional data warehouse concepts like transactions, commits and rollbacks a possibility on the Data Lake. This is leading to a convergence of the data lake and the data warehouse. A new open source project, Project Nessie, seeks to take this trend one step further. Project Nessie enables multi-table transactions on the data lake and provides decoupled transactions making distributed transactions a reality. Project Nessie does this by introducing Git-like semantics to data lakes. By using versioning concepts, users can work in an entirely new way, experimenting or preparing data without impacting the live view of the data, opening a whole world of possibilities for true DataOps on the data lake. This talk will discuss the benefits of Nessie and Iceberg and how these technologies can work together in modern data platforms.