This article introduces Alibaba Cloud's EventHouse as a unified, real-time semantic data pipeline that provides AI Agents with actionable, trustworthy business context.
This article explores how the Kafka × Table Bucket Zero-ETL architecture simplifies real-time data lake ingestion by eliminating external ETL pipelines.
Jark Wu Creator of Fluss project The industry is undergoing a clear and significant shift as big data computing transitions from offline to real-time processing.
This article presents Alibaba Cloud's integrated solution featuring ApsaraMQ for MQTT and Kafka.
Master Flink SQL fundamentals with Stream-Table Duality, event time, and watermarks. Build unified stream-batch processing pipelines for modern data engineering.
Prevent fraud detection delays with Apache Flink's real-time processing and Complex Event Processing.
This article introduces the upgrades and optimizations made to the batch processing model in RocketMQ.
This article is part of a series focusing on interview questions for technicians, with a specific emphasis on Kafka.
This article introduces MQ for Kafka, Kafka Connect, ecosystem planning, and connectivity issues.
This blog provides an in-depth overview of the Kafka messaging system along with a walkthrough of its various models and techniques.
This article focuses on the various log collection solutions provided by Serverless Application Engine (SAE) as well as related architectures and scenarios.
This article discusses the basics of Apache Hudi, Flink Hudi integration, and use cases.
This article introduces how to deploy General DBAudit (a lightweight, low-cost database security solution) in the Kubernetes environment.
This sharing introduces the architecture model design for device messaging application scenarios and how to implement an integrated messaging platform based on RocketMQ.
This article explains how Apache Kafka works and how to deploy it.
This article describes the usage scenarios and problems of MQ in several typical businesses.
The article mainly introduces two applications of real-time big data based on Flink.
본 블로그를 참조하여 알리바바의 대표적인 MQ 서비스인 Message Queue for RocketMQ, RabbitMQ, Kafka, MQTT에 대한 설명과 비교, 적절한 사용 시나리오에 대해 알아볼 수 있습니다.
In this article, Alibaba technical expert Aohai introduces the basic concepts and architecture of an enterprise-level recommender system.
This article aims to give readers a deeper understanding of Alibaba Cloud Data Lake Formation (DLF) and Databricks DataInsight (DDI).
