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Stream Computing

Flink CDC Series – Part 2: Flink MongoDB CDC Production Practices in XTransfer

Part 2 of this 5-part series explains how to realize Flink MongoDB CDC Connector through MongoDB Change Streams features based on Flink CDC.

Flink CDC Series – Part 1: How Flink CDC Simplifies Real-Time Data Ingestion

Part 1 of this 5-part series explains how to use Flink CDC to simplify the entry of real-time data into the database.

Exploration of Advanced Functions in Pravega Flink Connector Table API

This article is compiled from the topic "Exploration of Advanced Functions in Pravega Flink Connector Table API," shared by Zhou Yumin in Flink Forward Asia 2021.

More Than Computing: A New Era Led by the Warehouse Architecture of Apache Flink

Mowen discusses the future of Apache Flink regarding its core capabilities of stream computing and improving the processing standards of the entire industry.

OpenYurt Teamed with eKuiper to Solve the Processing Problems of Edge Streaming Data in IoT Scenarios

This article discusses the new partnership between OpenYurt and eKuiper.

Flink Remote Shuffle Open-Source: Shuffle Service for Cloud-Native and Unified Batch and Stream Processing

This article introduces the research and development background and the design and use of Flink Remote Shuffle.

Streaming ETL for MySQL and Postgres with Flink CDC

This tutorial explains how to quickly build streaming ETL for MySQL and Postgres with Flink CDC.

Flink Practices in iQiyi's Advertising Business

This article explains thoroughly how iQiyi (a Chinese online video platform) utilizes Apache Flink.

A Few Tips on Large-Scale Real-Time Data Warehouse Construction

This article offers helpful tips for large-scale real-time data warehouse construction.

The Practice of Real-Time Data Processing Based on MaxCompute

This article explains how to write real-time streaming data based on BinLog, Flink, and Spark Streaming into MaxCompute.

Kwai Builds Real-Time Data Warehouse Scenario-Based Practice on Flink

This article introduces the real-time data warehouse architecture built by Kwai based on Flink and offers solutions to some difficult problems.

Basic Concepts and Architecture of a Recommender System

In this article, Alibaba technical expert Aohai introduces the basic concepts and architecture of an enterprise-level recommender system.

How Does Taobao Implement Real-Time Product Selection with Real-Time Computing?

This article describes Alibaba's Blink real-time stream computing technology, which is used to implement real-time product selection

Alibaba Risk Control Brain: Exploration and Practices in Big Data Applications

Read on to learn how Alibaba's Risk Control Brain works in big data applications.

Flink State Management and Fault Tolerance for Real-Time Computing

Alibaba Blink is a real-time computing framework built based on Apache's Flink, aimed at simplifying the complexity of real-time computing on Alibaba's ecosystem.

Best Practices for Flink on Zeppelin Stream Computing Processing

This article is an overview of the best practices for Flink on Zeppelin stream computing processing taken from a recent lecture.

Zeppelin Notebook: An Important Tool for PyFlink Development Environment

This article introduces a PyFlink development environment tool that can help users solve various problems.

Use Flink Hudi to Build a Streaming Data Lake

This article introduces the optimization and evolution of Flink Hudi's original mini-batch-based incremental computing model through stream computing.

Flink Course Series (8): Detailed Interpretation of Flink Connector

This article gives a detailed interpretation of Flink Connector from the four aspects: connectors, Source API, Sink API, and the future development of collectors.

Flink Course Series (7): Flink Ecosystems

This article describes how Flink SQL connects to external systems and introduces commonly used Flink SQL Connectors.