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Stream Computing

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.

From RxJS to Flink: Processing Data Streams

This article describes how to use reactive programming in frontend development with a news website as an example.

Introduction to SQL in Flink 1.11

This article introduces the major changes and new features of Flink 1.11

Flink 1.11: An Engine with Unified SQL Support for Batch and Streaming Data

This article introduces the enhanced capabilities of Flink 1.11 to support SQL to process batch and streaming data

Reactive Programming Is the Architecture of the Future

This article discusses the concept, specifications, value, and principles of Reactive from the author's perspective.

PostgreSQL-enabled Electronic Fences: Application Scenarios and Performance

In this article, the author discusses electronic fence technology based on PostgreSQL and describes its applications in various common business scenarios.

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.

Alibaba Cloud Big Data Solutions for Real-Time Analysis and Decision-Making for Enterprises

This blog shares Alibaba Cloud's suite of real-time big data products and solutions to help enterprises make real-time decisions.

Optimization of Apache Flink for Large-State Scenarios

This article analyzes problems that may occur when using Apache Flink for large states and offers several solutions to overcome these issues.

Data Warehouse: In-depth Interpretation of Flink Resource Management Mechanism

This article explores Flink resource management mechanism from three aspects: basic concepts, current mechanisms and policies, and future development directions.

Analysis of Flink Job Problems and Optimization Practices

This article mainly describes the CheckPoint mechanism, backpressure mechanism, and memory model of Flink.

Alibaba Cloud Realtime Compute for Apache Flink Provides Solutions for the Financial Industry

This article discusses the challenges of today's finance industry and explores the solutions Realtime Compute for Apache Flink offers.

Recommender System: Ranking Algorithms and Training Architectures

In this article, Alibaba technical expert Aohai introduces the ranking algorithms and training architectures of a recommender system, specifically.

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.

Metrics Principles and Practices: Flink Advanced Tutorials

This article describes Apache Flink metrics in detail and explains how to use metrics. It further explains the metrics monitoring practices.

In-depth Analysis of Flink Job Execution: Flink Advanced Tutorials

This article describes two key aspects of the Flink job execution process. It describes how to go from a program to a physical execution plan and how ...

Analysis of Network Flow Control and Back Pressure: Flink Advanced Tutorials

This article explains the concepts of network flow control, focusing on TCP flow control, back pressure, and credit-based back pressure on Flink.

Flink Checkpoints Principles and Practices: Flink Advanced Tutorials

This article explains the concepts of checkpoints and states used in Apache Flink, focusing on the relationship between checkpoints and states.