Apache Flink 2.0, anticipated for release in late 2024 or early 2025, is poised to be a major advancement in stream processing, introducing features like disaggregated state storage using a Distributed File System (DFS) to enhance scalability and performance for cloud-native data processing. This version aims to separate compute from storage resources, allowing for efficient handling of large datasets, faster state recovery, and improved resource management. With significant API and configuration updates, including the removal of deprecated APIs and the introduction of the Unified Sink API, Flink 2.0 seeks to modernize and unify batch and stream processing, making it more user-friendly and maintainable. The update also emphasizes performance improvements through techniques like Dynamic Partition Pruning and Operator Fusion CodeGen, while focusing on cloud-native efficiencies and scalability. These advancements are designed to meet the growing demands of data-driven applications, setting new benchmarks in data processing capabilities.