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.
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.
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.
Discover how China's booming EV market leverages Alibaba Cloud's Flink & Apache Paimon for real-time data processing.
Prevent fraud detection delays with Apache Flink's real-time processing and Complex Event Processing.
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.
Alibaba Cloud highlighted the innovative features of the forthcoming Apache Flink 2.0 at Flink Forward Asia in Jakarta.
This article introduces a data processing workflow that integrates Realtime Compute for Apache Flink, EMR Serverless Spark, and Apache Paimon to enable real-time data ingestion.
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.
Unified batch and stream processing of Flink is a well-established concept in the stream computing field.
This step-by-step tutorial introduces how to get started with Flink MySQL Connector in 5 minutes.
This article is based on the keynote speeches given by LI Jinsong, WU Xiangping, DI Xingxing, and WANG Yunpeng during Flink Forward Asia 2023.
This article is compiled from the presentation by Ren Qingsheng, committer and PMC member of Apache Flink, at the Flink Forward Asia 2023 core technology session (Part 2).
Explore the differences between Batch Processing vs Stream Processing and their applications in data management for better decision-making.
This article is based on the keynote speech on AI feature engineering given by ZHAO Liangxingyun, a senior technical expert of Ant Group, during Flink Forward Asia 2023.
Uncover the advancements from Apache Hive to Hudi and Iceberg in stream computing, as our expert navigates the transformative landscape of real-time data lakes.
