Apache Flink Community
FollowExplore 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.
Unified batch and stream processing of Flink is a well-established concept in the stream computing field.
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.
Discover Flink SQL, the high-level API for executing SQL queries across streaming and batch data sets in Apache Flink.
Flink CDC 3.0 is a cutting-edge framework for real-time data integration, offering an efficient, scalable CDC solution with Apache Flink.
This article is based on a keynote speech given by Jark Wu, head of Flink SQL and Flink CDC at Alibaba Cloud, during Flink Forward Asia 2023.
This article is based on a keynote speech given by WANG Feng, initiator of Apache Flink Community China and head of Open-Source Big Data Platform at Alibaba Cloud, at Flink Forward Asia 2023.
Ready to dive into real-time data processing? Learn Apache Flink basics & set up with Alibaba Cloud's Realtime Compute for Apache Flink.
Discover Apache Paimon: the solution for real-time data processing, seamlessly integrating Flink & Spark for streaming & batch operations.
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