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Realtime Compute

Application of Real-Time Compute for Apache Flink in Weibo

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

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.

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.

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.

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.

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.

Flink 1.10 Container Environment Practices

This article introduces the evolution of container management systems and discusses the best practices of using Apache Flink on Kubernetes.

Apache Flink Best Practices: Constructing Real-Time Data Warehouses in the Financial Industry

This article discusses the importance of China’s financial industry and how Apache Flink can use data mining to develop the financial industry.

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.

Yangqing Jia Launches the New-Generation Cloud-Native Data Warehouse

Yangqing Jia, VP of Alibaba, talks about "real-time" as a service that integrates offline data, live data, analytics, and serving based on Holgres, MaxCompute, and Realtime Compute.

Ant Financial's Innovations and Practices in Online Graph Computing

This article explores the importance of online graph computing capabilities for SMEs, and introduces Ant Financial's financial-grade graph database, GeaBase.