Apache Flink Community
FollowThe Apache Flink community has launched Flink Agents, a new intelligent agent framework designed for event-driven AI applications.
Comprehensive guide to Apache Flink's evolution from embedded state management to cloud-native disaggregated architecture.
Comprehensive guide to Apache Paimon's LSM-tree architecture, real-time streaming capabilities, and Apache Iceberg compatibility.
FLIP-14 proposes the CrossGroup operator, designed to optimize data-pairing operations in Flink.
Learn how Apache Flink CDC accelerates real-time data ingestion in modern lakehouse architectures. Discover schema evolution, streaming ETL best pract...
Discover how Lazada Group built a large-scale e-commerce product selection platform using Apache Flink and Hologres for real-time analytics and stream processing.
We will first introduce the business background of Alibaba Mama's advertising platform, then explore the design and evolution of its real-time advertising system and data lake architecture.
Adding Side Outputs to Flink for More Flexible Data Processing.
Discover how Alibaba Cloud Realtime Compute for Apache Flink transforms enterprise streaming data processing.
Explore Apache Fluss, the revolutionary streaming storage solution bridging traditional systems and lakehouse architectures for real-time data analytics and AI.
Discover Apache Flink's evolution from real-time data processing to AI applications. Learn about Streaming Lakehouse, Apache Paimon, and Flash engine for next-gen AI.
Master Flink 2.1 SQL's AI functions with ML_PREDICT, Delta Join optimizations, and real-time AI integration for scalable stream processing applications.
Master Apache Flink FLIP-12 asynchronous I/O for high-performance stream processing. Learn implementation patterns, external system integration, and p...
Traditional streaming data pipelines often need to join many tables or streams on a primary key to create a wide view.
Discover vivo's real-world Lakehouse integration using Apache Paimon. Learn architecture design, performance optimization, and unified stream-batch processing.
Master Apache Flink FLIP-11 stream aggregation with Table API. Learn tumbling, sliding, and session windows for efficient real-time data processing.
Learn about Apache Flink FLIP-10 proposal for unified checkpoints and savepoints management. Improve fault tolerance and operational simplicity with configuration examples and best practices.
description" content="Learn about FLIP-9 proposal for Apache Flink trigger language. Discover why this rule language for Flink triggers was shelved an.
Master Apache Flink FLIP-8 scalable non-partitioned state management. Learn dynamic scaling solutions, OperatorStateStore implementation, and state re...
Build real-time MySQL-to-Kafka data pipelines using Flink CDC YAML without coding. Complete tutorial with whole database sync and schema changes.
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