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Stream Computing

How Can Tens of Millions of Data Records Be Processed Every Second?

In this article, we will look at the system implemented by Alibaba's Xianyu team, which can process tens of millions of data records every second in real time.

PostgreSQL Swinging Door Trending (SDT) Algorithm for Stream Computing Applications

This article uses Swinging Door Trending (SDT) as an example to provide a design suggestion and demo for this type of stream computing in PostgreSQL.

PipelineDB Sharding Cluster for Distributed Stream Computing

In this article, we'll introduce the PipelineDB cluster architecture and discuss how it maintains high availability for read/write operations amid shard failures.

Conducting a Pivotal Analysis of Multiple Streams for Both Human and Robot Service Channels

This article looks at the pivotal analysis of multiple streams-with both human and robot service channels-and shows how you can conduct this kind of pivotal analysis.

Streaming, Lambda, and Triggered Modes Compared: At Look at How You Can Process Data in Real Time

This article looks at the advantages and disadvantages of using stream computing, Lambda, and synchronous real-time (or triggered) data analysis.

How Can We Monitor "No Incoming Messages" Data Exceptions?

This tutorial shows how to solve delivery and refund timeouts issues in e-commerce scenarios through a combination of timeout and scheduling operations using PostgreSQL.

Why Did Alibaba Choose Apache Flink Anyway?

This blog article, based on a speech at the Yunqi Conference, discusses the development process of Flink and why Alibaba chose Flink from the service perspective.

Use Cases for Millisecond-Level Massive Multi-Dimensional Data Pivoting on PostgreSQL/GPDB

This article shows you how to use data pivoting on PostgreSQL to meet your various business needs.

Displaying Massive Amounts of Data in Real Time

In this blog, we discuss how PostgreSQL can help with real-time streaming statistics for data visualization, including time-series processing and full analysis.

Pan-Chinese Electricity Grid System: Real-Time OLTP and OLAP Database Design

This article discusses the pan-Chinese electricity grid system and its database design for real-time computation of massive amounts of data.

An Overview of Kafka Distributed Message System

This blog provides an in-depth overview of the Kafka messaging system along with a walkthrough of its various models and techniques.

How Does Taobao Implement Real-Time Product Selection with Real-Time Computing?

This article describes Alibaba's Blink real-time stream computing technology, which is used to implement real-time product selection

Using RDS for PostgreSQL varbitx Extension for Real-Time Profile Applications

In this article, we will learn about the Alibaba Cloud ApsaraDB for RDS PostgreSQL varbitx extension for varbit and bit operation functions.

Tagging Trillions of Users in Milliseconds with varbitx on PostgreSQL

In this article, we will explore how to use Alibaba Cloud RDS PostgreSQL varbitx stream tags for tagging trillions of users with any tags in milliseconds.

Flink State Management and Fault Tolerance for Real-Time Computing

Alibaba Blink is a real-time computing framework built based on Apache's Flink, aimed at simplifying the complexity of real-time computing on Alibaba's ecosystem.