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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.

Alibaba Cloud BigData Pipeline 구축하기

이 블로그는 빅데이터 플랫폼 도입을 고려 중이고, 어떤 조합으로 시스템을 구축할지 고민이신 분들을 위해 알리바바가 제공하는 모든 서비스들을 나열해 놓고, 각 서비스들의 적용 가능한 시나리오와 서비스 도입 시 고려해야 할 점등을 설명합니다.

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 (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 (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.

How to Sustain a Growing Platform and Gain Online Users

Learn how Xianyu has been building an e-commerce platform made for sustained growth.

Unveiling Hologres: A Cloud-Native Storage Engine

Abstract: This article introduces the storage engine of Hologres and deeply analyzes its implementation principles and core technical advantages.

Flink: How to Optimize SQL Performance Using Multiple-input Operators

In this article, the author explains how to optimize SQL performance in Apache Flink using multiple-input operators.

How to Analyze CDC Data in Iceberg Data Lake Using Flink

This article discusses the challenges and limitations of various solutions in CDC data analysis and describes how to use Flink and Iceberg to overcome them.

Flink + Iceberg: How to Construct a Whole-scenario Real-time Data Warehouse

In this article, the author explains building a real-time data warehouse using Apache Flink and Apache Iceberg.

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.

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.

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.