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Realtime Compute

Apache Flink FLIP-12: Asynchronous I/O

Follow the Apache Flink® Community for making Flink's External System Data Processing More Efficient.

vivo's Lakehouse Integration Practice Based on Paimon

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).

Apache Flink FLIP-11: Simplified Stream Aggregation

Follow the Apache Flink® Community for making Stream Aggregation Simpler in Table API.

FLIP-10: Unified Checkpoints and Savepoints

Follow the Apache Flink® Community for making Data Backup Simpler in Flink.

FLIP-9: Trigger Language

An Attempt at Defining a Rule Language for Flink Triggers

Flink SQL 101: Embrace Unified Stream and Batch Processing

This article introduces Flink SQL, a unified stream-batch processing engine, focusing on key concepts like Stream-Table Duality, event time/watermarks.

Apache Flink FLIP-7: Visualizing Monitoring Metrics in Web UI

Follow the Apache Flink® Community for making Flink Metrics More Accessible Through Web UI Visualization.

Apache Flink Broadcast Variable Optimization: FLIP-5's Approach to Reducing Network Overhead

This is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.

Compare Flink SQL and DataStream API: Comprehensive Guide for New Developers

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...

Best Practices for Flink CDC YAML in Realtime Compute for Apache Flink

This article is authored by the data pipeline team of Alibaba Cloud's open-source big data platforms.

Understanding Flink CDC and Its Core Features

Flink CDC enables real-time data integration with low latency, fault tolerance, and support for multiple databases, simplifying modern data workflows.

The Next Step of Flink CDC

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| A Next-generation Real-time Data Integration Framework

Flink CDC 3.0 is a cutting-edge framework for real-time data integration, offering an efficient, scalable CDC solution with Apache Flink.

Elevate Your Data Processing and Synchronization to Alibaba Cloud Elasticsearch using Realtime Compute for 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.

Practice of Flink 2.0 State Storage-computing Separation

This article provides an overview of the research on the transformation practice of Flink 2.0 state storage-computing separation.

Understanding Stream Processing: Real-Time Data Analysis and Use Cases

Learn about stream processing, its applications, challenges, and Alibaba Cloud's Realtime Compute for Apache Flink solution for real-time data analysis.

Menggunakan Flink CDC sebagai real-time data streaming untuk menyinkronkan data terpisah dari tabel MySQL ke Hologres data warehouse

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.

A guide to real-time data processing - Realtime compute for Apache Flink

Nowadays, real-time data analytics are generally used across all industries. Real-time data solutions are inceredibly advantagous since they save time.

Hologres Supports AliExpress Upgrades of Real-time Data Warehouse during Double 11

This article focuses on Hologres’s best practices at AliExpress, helping it reduce costs by nearly 50% and increase efficiency by 300%.

A Demo of the Scenario Solution Based on Realtime Compute for Apache Flink

The article mainly introduces two applications of real-time big data based on Flink.