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How to build a real-time data processing pipeline using Azure services such as Event Hubs, Stream Analytics, Functions, Cosmos DB, and Data Factory, for efficient and scalable analytics on streaming data

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Azure-real-time-analytics

The "azure-real-time-analytics" repository contains code and configurations for building a real-time data processing pipeline using Azure services such as Event Hubs, Stream Analytics, Functions, Cosmos DB, and Data Factory, for efficient and scalable analytics on streaming data.

Installation

  • To use this repository, you will need an Azure subscription and access to the Azure portal.

  • Clone this repository to your local machine.

  • Open the Azure portal and create the necessary Azure services such as Event Hubs, Stream Analytics, Functions, Cosmos DB, and Data Factory.

  • Update the configuration files with the necessary credentials and settings for your Azure services.

  • Deploy the code and configuration files to the appropriate Azure services.

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How to build a real-time data processing pipeline using Azure services such as Event Hubs, Stream Analytics, Functions, Cosmos DB, and Data Factory, for efficient and scalable analytics on streaming data

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