{"id":3892,"date":"2023-11-04T23:13:55","date_gmt":"2023-11-04T23:13:55","guid":{"rendered":"http:\/\/localhost:10003\/using-azure-event-hubs-for-real-time-data-ingestion\/"},"modified":"2023-11-05T05:48:28","modified_gmt":"2023-11-05T05:48:28","slug":"using-azure-event-hubs-for-real-time-data-ingestion","status":"publish","type":"post","link":"http:\/\/localhost:10003\/using-azure-event-hubs-for-real-time-data-ingestion\/","title":{"rendered":"Using Azure Event Hubs for real-time data ingestion"},"content":{"rendered":"

Real-time data processing is a critical requirement for many systems today. It allows for near-instantaneous response to events as they occur, making it possible to react quickly to changing conditions, detect anomalous situations, or trigger immediate actions.<\/p>\n

To support real-time data ingestion, Microsoft Azure provides a service called Event Hubs. This service allows you to receive and process millions of events per second in real-time, making it an excellent choice for applications that require high scalability and low latency.<\/p>\n

In this tutorial, we will explore how to use Azure Event Hubs for real-time data ingestion, including the steps required to create an Event Hub, send data to it, and process the data using an Azure Function. We will also cover the best practices for using Event Hubs, as well as some of the limitations and trade-offs that you should be aware of when using this service.<\/p>\n

Prerequisites<\/h2>\n

Before we start, you will need the following:<\/p>\n