Apache Flink Community
FollowThis is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.
This article is authored by the data pipeline team of Alibaba Cloud's open-source big data platforms.
This article is based on a presentation by Mr. Wang Feng (nickname: Mowen), senior director at Alibaba Cloud and head of the open source big data de.
This is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.
Article emphasizes real-time data processing's importance in retail/e-commerce for tailored recommendations, highlighting Apache Flink's pivotal role.
Flink CDC enables real-time data integration with low latency, fault tolerance, and support for multiple databases, simplifying modern data workflows.
This is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.
Discover how China's booming EV market leverages Alibaba Cloud's Flink & Apache Paimon for real-time data processing.
This article by Bank of Hangzhou's big data engineers discusses Dynamic Flink Complex Event Processing (CEP), highlighting its key concepts, financial use cases, and underlying technologies.
Prevent fraud detection delays with Apache Flink's real-time processing and Complex Event Processing.
Discover the latest advancements in Apache Flink 2.0 as shared by experts from the Alibaba Cloud Flink team at Flink Forward Asia 2024.
Discover how Lalamove developed a scalable, cost-effective cloud-native streaming platform, leveraging Apache Flink and Paimon to enhance data management.
Explore how Apache Paimon addresses big data system challenges by offering a unified data lake storage solution.
Discover how to harness streaming data for AI-driven applications using Apache Flink, based on insights from the Flink Forward Asia 2024 keynote by Ashish Sharma and Ganireddy Jyothi Swaroop.
This blog is written by Wencong Liu, a senior engineer of Alibaba Cloud's Realtime Compute for Apache Flink team.
Today, we are excited to introduce Fluss, a cutting-edge streaming storage system designed to power real-time analytics.
Jark Wu Creator of Fluss project The industry is undergoing a clear and significant shift as big data computing transitions from offline to real-time processing.
This article is based on the keynote speech given by Feng Wang, Head of the Open Data Platform at Alibaba Cloud, at Flink Forward Asia in Jakarta 2024.
This article is compiled from a presentation by Yunfeng Zhou, a Senior Development Engineer at Alibaba Cloud and an Apache Flink Contributor, during the Apache Asia CommunityOverCode 2024 event.
Authored by Aliyun's R&D engineer, Li Junrui, this article introduces the newly introduced feature of batch job progress resumption in Flink version 1.
5811833376407211 Commented on One-Click Database Synchronization from MongoDB to Paimon Using Flink CDC
5873011638862493 Commented on Apache Flink Has Become the De Facto Standard for Stream Computing
Dikky Ryan Pratama Commented on The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration
5444248861672821 Commented on Streaming ETL for MySQL and Postgres with Flink CDC
Arman Ali Commented on Flink: How to Optimize SQL Performance Using Multiple-input Operators
