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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.

Apache Iceberg 0.11.0: Features and Deep Integration with Flink

In this article, the author discusses how Apache Flink and Apache Iceberg have opened a new chapter in building a data lake architecture featuring stream-batch unification.

Flink Is Crowned as the World's Most Active Open-Source Apache Project after Three Consecutive Years in First Place

This article discusses the rapid growth of Apache Flink over the last three years and its potential future growth.

Integrating Apache Hudi and Apache Flink for New Data Lake Solutions

This article explains Apache Hudi and Apache Flink and the benefits of implementation.

Building an Enterprise-Level Real-Time Data Lake Based on Flink and Iceberg

This article explains real-time data lakes based on Apache Flink and Apache Iceberg.

Real-Time Data Synchronization Based on Flink SQL CDC

This article focuses on traditional data synchronization solutions, synchronization solutions based on Flink CDC, more application scenarios, and CDC future development plans.

Data Lake: How to Explore the Value of Data Using Multi-engine Integration

This article briefly discusses the metadata service and multi-engine support capabilities of the Alibaba Cloud Data Lake Formation (DLF) service.

The Flink Ecosystem: A Quick Start to PyFlink

This article will introduce PyFlink's architecture and provide a quick demo in which PyFlink is used to analyze CDN logs.

In-depth Review of Apache Spark: Spark + AI Summit 2020

Matei Zaharia, founder of the Spark project, gave an in-depth review of Spark at the Spark + AI Summit 2020 in conjunction with its 10-year anniversary.

What Is Stream Output?

This article explains Stream Output and its technical theories and application scenarios.