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Stream Computing

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.

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.

Flink Course Series (3): Flink Runtime Architecture

This article focuses on the underlying Flink Runtime Architecture with four parts, including runtime overview, Jobmaster, TaskExecutor, and ResourceManager.

Flink Course Series (2): Stream Processing with Apache Flink

This article describes stream processing with Apache Flink from three different aspects.

Flink Course Series (1): A General Introduction to Apache Flink

This article describes the basic concepts, importance, development, and current applications of Apache Flink.

Batch and Stream Integration of Flink and Pulsar

This article introduces Apache Pulsar, a next-gen cloud-native message streaming platform, and discusses how it enables batch and stream computing integration.

Introduction to Alibaba Cloud Realtime Compute for Apache Flink

This article introduces Alibaba Cloud Realtime Compute for Apache Flink.

Agile Manufacturing of Data: Paradigm Evolution of DataWorks-Based All-in-One Data Development and Governance

This article explains agile manufacturing and how it relates to Alibaba Cloud DataWorks.