This article introduces a data processing workflow that integrates Realtime Compute for Apache Flink, EMR Serverless Spark, and Apache Paimon to enable real-time data ingestion.
This artile introduces the usability and maintainability of EMR Serverless Spark in stream processing.
The article introduces the development history, main scenarios, technical principles, performance tests, and future plans of the StarRocks + Apache Paimon lakehouse analysis.
This article outlines the parameters that Sidecars employ to control the performance of gRPC streaming and their mechanisms.
This article explains Flink ML API, its construction, and its use cases.
This article discusses the basics of Apache Hudi, Flink Hudi integration, and use cases.
This article recaps the last decade of development on RocketMQ and discusses the release of RocketMQ 5.0.
In this article, the author explains building a real-time data warehouse using Apache Flink and Apache Iceberg.
This article looking at the concepts behind PipelineDB, the scenarios it can be used in, its advantages, and how you can quickly develop, test, and deploy PipelineDB.
