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Apache Flink Community

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Apache Flink Community

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Accelerate Data Ingestion in Real-time Lakehouse with Apache Flink CDC

Learn how Apache Flink CDC accelerates real-time data ingestion in modern lakehouse architectures. Discover schema evolution, streaming ETL best pract...

Building an Efficient Product Selection Platform for Lazada: A Real-Time Analytics Journey with Apache Flink and Hologres

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.

Building a Real-Time Advertising Lakehouse: Alibaba Mama's Practice with Flink & Paimon

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.

Apache Flink FLIP-13: Side Outputs

Adding Side Outputs to Flink for More Flexible Data Processing.

Unleashing Apache Flink Power: Enterprise-Grade Streaming at Scale with Alibaba Cloud | Real-Time Data Processing Guide 2025

Discover how Alibaba Cloud Realtime Compute for Apache Flink transforms enterprise streaming data processing.

Fluss: Redefining Streaming Storage for Real-time Data Analytics and AI

Explore Apache Fluss, the revolutionary streaming storage solution bridging traditional systems and lakehouse architectures for real-time data analytics and AI.

Apache Flink: From Real-time Data Analytics to Real-Time 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.

Flink 2.1 SQL: Unlocking Real-time Data & AI Integration for Scalable Stream Processing

Master Flink 2.1 SQL's AI functions with ML_PREDICT, Delta Join optimizations, and real-time AI integration for scalable stream processing applications.

Apache Flink FLIP-12: Complete Guide to Asynchronous I/O for High-Performance Stream Processing

Master Apache Flink FLIP-12 asynchronous I/O for high-performance stream processing. Learn implementation patterns, external system integration, and p...

Understanding Fluss Partial Update

Traditional streaming data pipelines often need to join many tables or streams on a primary key to create a wide view.

vivo's Lakehouse Integration Practice Based on Paimon

Discover vivo's real-world Lakehouse integration using Apache Paimon. Learn architecture design, performance optimization, and unified stream-batch processing.

Apache Flink Table API Aggregation Made Easy: FLIP-11 Windowing Guide for Developers

Master Apache Flink FLIP-11 stream aggregation with Table API. Learn tumbling, sliding, and session windows for efficient real-time data processing.

Apache Flink FLIP-10: Complete Guide to Unified Checkpoints and Savepoints

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.

FLIP-9: Trigger Language - Apache Flink Rule Definition Guide

description" content="Learn about FLIP-9 proposal for Apache Flink trigger language. Discover why this rule language for Flink triggers was shelved an.

Mastering Flink State Scaling: FLIP-8 Non-Partitioned State Management for Distributed Systems

Master Apache Flink FLIP-8 scalable non-partitioned state management. Learn dynamic scaling solutions, OperatorStateStore implementation, and state re...

Streaming Data Integration from MySQL to Kafka using Flink CDC YAML

Build real-time MySQL-to-Kafka data pipelines using Flink CDC YAML without coding. Complete tutorial with whole database sync and schema changes.

Flink SQL 101: Embrace Unified Stream and Batch Processing

Master Flink SQL fundamentals with Stream-Table Duality, event time, and watermarks. Build unified stream-batch processing pipelines for modern data engineering.

Apache Flink FLIP-7: Visualizing Monitoring Metrics in Web UI

Follow the Apache Flink® Community for making Flink Metrics More Accessible Through Web UI Visualization.

Apache Flink FLIP-6: Dynamic Resource Management for Optimized Cluster Deployment

Master Apache Flink FLIP-6 dynamic resource management for Kubernetes, YARN, and Mesos. Learn auto-scaling, cloud-native deployment patterns, and production optimization strategies.

Flink Materialized Table: Building Unified Stream and Batch ETL

Explore Apache Flink's Materialized Table for unified stream-batch ETL. Learn declarative data processing and overcome Lambda architecture challenges.

Latest Comments

5811833376407211 Commented on One-Click Database Synchronization from MongoDB to Paimon Using Flink CDC

You beat me to this. was / is busy with a similar blog, describing same flow.Nicely done.G

5873011638862493 Commented on Apache Flink Has Become the De Facto Standard for Stream Computing

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Dikky Ryan Pratama Commented on The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration

Awesome!

5444248861672821 Commented on Streaming ETL for MySQL and Postgres with Flink CDC

Really Nice post! I have a question regarding the elasticsearch sql connector part, it seems like they don't have SSL options (like ca.crt file path...) in current connector, does anybody have any idea how to connect to ES as a sink with ssl?

Arman Ali Commented on Flink: How to Optimize SQL Performance Using Multiple-input Operators

Great!