Follow the Apache Flink® Community for making Flink's External System Data Processing More Efficient.
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).
Follow the Apache Flink® Community for making Stream Aggregation Simpler in Table API.
Follow the Apache Flink® Community for making Data Backup Simpler in Flink.
An Attempt at Defining a Rule Language for Flink Triggers
This article introduces Flink SQL, a unified stream-batch processing engine, focusing on key concepts like Stream-Table Duality, event time/watermarks.
Follow the Apache Flink® Community for making Flink Metrics More Accessible Through Web UI Visualization.
This is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.
Apache Flink is a stream processing framework with two main interfaces: Flink SQL, which uses SQL for batch and streaming data, and the DataStream API...
This article is authored by the data pipeline team of Alibaba Cloud's open-source big data platforms.
Flink CDC enables real-time data integration with low latency, fault tolerance, and support for multiple databases, simplifying modern data workflows.
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.
Flink CDC 3.0 is a cutting-edge framework for real-time data integration, offering an efficient, scalable CDC solution with Apache Flink.
In this article, we explore how to use Realtime Compute for Apache Flink to process log data and synchronize it with an Alibaba Cloud Elasticsearch cl.
This article provides an overview of the research on the transformation practice of Flink 2.0 state storage-computing separation.
Learn about stream processing, its applications, challenges, and Alibaba Cloud's Realtime Compute for Apache Flink solution for real-time data analysis.
Flink sepenuhnya memungkinkan Anda menyinkronkan data ke data warehouse secara real-time. Blog ini akan menjelaskan bagaimana cara menerapkan Flink untuk menyinkronkan data dari MySQL ke Hologres.
Nowadays, real-time data analytics are generally used across all industries. Real-time data solutions are inceredibly advantagous since they save time.
This article focuses on Hologres’s best practices at AliExpress, helping it reduce costs by nearly 50% and increase efficiency by 300%.
The article mainly introduces two applications of real-time big data based on Flink.
