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.
This article introduces RocketMQ Streams and explains the architecture and implementation principles.
This article discusses RocketMQ operation status, pain points, and stateless proxy mode.
This article discusses the evolution of RocketMQ 5.0, including the new unified API, implementation, observability, and metrics.
This article discusses some background information and the three storage enhancements of Apache RocketMQ 5.0.
This article aims to provide a clear understanding of the recent high-frequency words "Message-Driven, Event-Driven, and Streaming" in messaging field.
This article will analyze the RocketMQ-Streams construction and data forwarding procedure from the perspective of source code.
This article discusses the requirements and architecture of streaming data warehouse storage.
