Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs

Golang client library for Azure Event Hubs https://azure.microsoft.com/services/event-hubs

Terraform script to deploy almost all Azure Data Services

GraphQL layer to publish and consume events from any message broker

useful tools to debug application which uses azure event hubs

Library to connect to the Azure Event Hub via AMQP 1.0 for the Go programming language (Golang) based on Apache Qpid Proton (an AMQP 1.0 C library)

How do each OOtB ICommunicationListeners stack up to each-other? This project is an attempt to visualize the performance metrics of each OOtB and custom communication stacks.

A demo app to consumer/publish in an azure eventHub using @azure/event-hubs

Messaging kickstart framework for Azure function provides mechanisms to speedup development of functions that are triggered by Eventhub and other Azure messaging services. It automatically discover components that are needed to be registered in Microsoft Dependency Injection framework.

TodoMVC practices with different method

Simple event hubs reader in node

🔥 Simple event emitter and listener built in ES6

A containerised Go swagger API to capture orders, write them to MongoDb or CosmosDB and RabbitMQ or EventHubs.

Ingest events into Seq directly from Azure Event Hub

Log provider for Microsoft.Extensions.Logging to log to Azure EventHub

The Online Mart App is a microservices-based application designed to provide a seamless online shopping experience. The app is composed of several independent services that handle different aspects of the shopping process

Read events from Eventhub and print to Stdout. You can then pipe them to other utilities.

Kafka to EventHub Mirror.

This FLINK project will consume streams from an azure event-hub and produce to a different event-hub ,and the config files for deploying the same in kubernetes