This article is compiled from the presentation by Xu Yu, an internet big data expert at vivo and Apache Paimon Committer, during the Flink Forward Asia 2024 Streaming Lakehouse session (Part One).
This article describes the basic concepts, importance, development, and current applications of Apache Flink.
This article introduces the concepts and features of RocketMQ 5.0's stream processing capabilities, including RStreams and RSQLDB, and how they simplify stream processing.
This article introduces the concept of stream storage in RocketMQ 5.0, its usage scenarios, features, and applications through data integration cases.
This article provides an overview of the research on the transformation practice of Flink 2.0 state storage-computing separation.
This article covers an overview of Flink ML and discusses the design and application of online learning, online inference, and feature engineering algorithms.
This article introduces the integration of Paimon and Spark, specifically focusing on query optimization.
This article examines the concept of a stream and introduces in detail the Java 22 Stream Gather API.
This article introduces the main features in the new version of Paimon that are supported by the Spark-based computing engine.
This article compares the performance of Paimon and Hudi on Alibaba Cloud EMR and explores their respective roles in building quasi-real-time data warehouses.
This article describes step-by-step instructions on how to use Confluent with FlinkSQL.
The Apache Flink PMC is pleased to announce the release of Apache Flink 1.18.0. As usual, we are looking at a packed release with a wide variety of improvements and new features.
New partnership brings the industry leading data streaming platform to more countries with Alibaba Cloud.
Part 27 of this series discusses distributed systems in terms of throughput and latency.
This article is compiled from Xiaolin He’s presentation at the 2022 Flink Forward Asia (FFA) Conference, discussing Flink SQL insight, best practices, and future works.
This article explores the practice of stream-batch integrated Flink SQL based on data lakes and explores the expression consistency, result consistenc...
Apache Flink, a leading stream processing standard, has released version 1.17.0, which includes new features and improvements.
The Apache Flink community has released version 0.3.0 of the Flink Table Store, which includes many new features and improvements.
This article was compiled from a speech by Song Xintong (Wuzang) (an Alibaba Cloud Senior Technical Expert) during FFA 2022, discussing Flink Shuffle 3.
This blog provides an in-depth overview of the Kafka messaging system along with a walkthrough of its various models and techniques.
