Apache Flink Unified Data скачать в хорошем качестве

Apache Flink Unified Data

Apache Flink is a robust, open-source distributed processing engine designed to handle both unbounded (streaming) and bounded (batch) data with high performance. Its architecture employs a master-slave model featuring a JobManager for orchestration and TaskManagers for executing parallel workloads. The system achieves fault tolerance and exactly-once consistency through asynchronous barrier snapshotting, which periodically saves the application state to durable storage. Developers can interact with Flink through various abstraction layers, including the DataStream API for real-time events and the Table API or SQL for relational queries. These sources illustrate Flink's versatility in modern big data ecosystems, highlighting its ability to support complex event processing, machine learning, and real-time fraud detection. Furthermore, the framework's scalability allows it to process trillions of daily events while maintaining low-latency, in-memory performance.