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Tag: Data pipelines and messaging
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Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

  • dbt-viewpoint
  • slack
  • pypa
  • data-modeling

Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

JeroMQ is a pure Java implementation of the ZeroMQ messaging library, offering high-performance asynchronous messaging for distributed or concurrent applications.

EventMesh is a new generation serverless event middleware for building distributed event-driven applications.

A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications

🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications

An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration

  • java
  • smooks
  • enterprise-integration
  • etl

A stream processing framework to build stateless applications on Kafka

  • kafka-streams
  • clojure
  • framework

Sample implementation and comparison of various approaches to building DDD applications. Useful as a baseline to quickly start a DDD dot net project.

  • ddd
  • ddd-example
  • ddd-patterns
  • hexagonal-architecture

Lightweight and Extensible Infrastructure for Building Web Applications - Web Application Framework

  • dotnet-core
  • efcore
  • aspnet-core
  • solid

:incoming_envelope: A fast Message/Event Hub using publish/subscribe pattern with support for topics like* rabbitMQ exchanges for Go applications