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Real-time Computing

New Capabilities of Alibaba Cloud Native Real-Time Offline Integrated Data Warehouse

This article discusses the new capabilities and advantages of real-time offline integration of Alibaba Cloud Data Warehouse.

Deconstructing Stream Storage - Pravega and Flink Build an End-to-End Big Data Pipeline

This article discusses stream storage and Pravega's performance architecture.

RocketMQ Streams: Lightweight Real-Time Computing Engine in a Messaging System

This article introduces RocketMQ Streams and discusses several design ideas and best practices to help you with mplementing this technology with your architecture.

Flink CDC Series – Part 5: Implement Real-Time Writing of MySQL Data to Apache Doris

Part 5 of this 5-part series explains how to use Flink CDC and Doris Flink Connector to monitor data from MySQL databases and store data in the tables in real-time.

Flink CDC Series – Part 4: Real-Time Extraction of Oracle Data, Demining, and Tuning Practices

Part 4 of this 5-part series shares the details of the Flink CDC version 2.1 trial process, including troubleshooting experiences and internal execution principles.

Flink CDC Series – Part 3: Synchronize MySQL Database and Table Shard to Build an Iceberg Real-Time Database

Part 3 of this 5-part series shows how to use Flink CDC to build a real-time database and handle database and table shard merge synchronization.

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.

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

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

Crowd Selection and Data Service Practices Based on MaxCompute & Hologres

This article describes how to use MaxCompute to add tags to a large number of people and carry out analysis and modeling through Hologres.

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.

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

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.

Alibaba Real-time Technologies Implemented by External Enterprises

This article discusses the technical implementation of several real-time visualization projects within the new retail industry.

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.

Flink Course Series (6): A Quick Start for Using PyFlink

This article introduces the objectives and the development of the PyFlink project as well as its current core features.

Flink Course Series (5): Introduction and Practice of Flink SQL Table

This article mainly introduces the background, concepts, and features of the Flink SQL and Table API.

Flink Course Series (4): Fault Tolerance in Flink

This article mainly introduces Flink fault tolerance mechanism principles along with stateful stream computing, global consistency snapshots, and Flink state management.