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.
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.
This article provides a comprehensive overview of the state management evolution and the Flink 2.0 storage-computing separation architecture based on Alibaba's internal practices.
This article covers an overview of Flink ML and discusses the design and application of online learning, online inference, and feature engineering algorithms.
The article introduces the development history, main scenarios, technical principles, performance tests, and future plans of the StarRocks + Apache Paimon lakehouse analysis.
This article introduces SPL and its application in the Realtime Compute for Apache Flink SLS Connector.
This article provides a deep exploration into MongoDB schema inference, focusing on the core features of MongoDB CDC Community Edition and its implementation in Realtime Compute for Apache Flink.
This article gives a deep interpretation on Gemini, an enterprise-level state storage engine of Alibaba Cloud Realtime Compute for Apache Flink.
This article discusses the technical implementation of several real-time visualization projects within the new retail industry.
This article introduces Alibaba Cloud Realtime Compute for Apache Flink.
