×
Realtime Compute

Understanding Stream Processing: Real-Time Data Analysis and Use Cases

Learn about stream processing, its applications, challenges, and Alibaba Cloud's Realtime Compute for Apache Flink solution for real-time data analysis.

What is Change Data Capture (CDC)?

Change Data Capture (CDC) detects and captures data changes as they occur in source systems, such as databases or applications.

Complex Event Processing (CEP): A Comprehensive Guide

Discover the power of Complex Event Processing (CEP) in deciphering real-time cause-and-effect relationships from diverse data streams.

Menggunakan Flink CDC sebagai real-time data streaming untuk menyinkronkan data terpisah dari tabel MySQL ke Hologres data warehouse

Flink sepenuhnya memungkinkan Anda menyinkronkan data ke data warehouse secara real-time. Blog ini akan menjelaskan bagaimana cara menerapkan Flink untuk menyinkronkan data dari MySQL ke Hologres.

A guide to real-time data processing - Realtime compute for Apache Flink

Nowadays, real-time data analytics are generally used across all industries. Real-time data solutions are inceredibly advantagous since they save time.

Hologres Supports AliExpress Upgrades of Real-time Data Warehouse during Double 11

This article focuses on Hologres’s best practices at AliExpress, helping it reduce costs by nearly 50% and increase efficiency by 300%.

A Demo of the Scenario Solution Based on Realtime Compute for Apache Flink

The article mainly introduces two applications of real-time big data based on Flink.

Four Billion Records per Second! What is Behind Alibaba Double 11 - Flink Stream-Batch Unification Practice during Double 11 for the Very First Time

This article analyzes the practice of stream and batch unification for big data processing within Alibaba's core business scenarios.

Evolution of the Real-time Data Warehouses of the Alibaba Search and Recommendation Data Platform

This article shares the results of explorations into real-time data warehouses focusing on the evolution and best practices for data warehouses based on Apache Flink and Hologres.

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 (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.

Application of Real-Time Compute for Apache Flink in Weibo

This article introduces the application of Realtime Compute for Apache Flink with Weibo.

Real-Time Marketing Data Analysis Based on Hologres + Flink

This article focuses on the best practice of Hologres in Taobao's marketing analysis scenarios.

Second-Level Response Time Achieved in Fliggy’s Double 11 Real-Time Data Big Screen by Hologres

This article focuses on how Hologres is implemented in the real-time data warehouse scenario of Fliggy.

Network Monitoring Technology Behind the Smooth Experience During Double 11

This article focuses on Hologres' best practice of successfully replacing Apache Druid in the Alibaba Network Monitoring Department.

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.

Application of Apache Flink in Real-time Financial Data Lake

This article provides an in depth introduction to the architecture, application, and best practices of real-time financial data lakes by Zhongyuan Bank.

How Does Flink Maintain Rapid Development Even as One of the Most Active Apache Project?

This article mainly introduces the current development and future plans of Flink as a unified stream-batch processing engine.

Flink Forward Asia 2020 - Keynote Summary

This post summarizes the key takeaways from the 2020 Flink Forward Asia (FFA) Conference hosted in Beijing, China.