Free Event Hub data analysis with Azure Data Explorer
Published Mar 22 2023 05:03 AM 3,996 Views

Are you looking for a powerful and cost-effective (or possibly even free...) way to analyze large volumes of near real-time streaming data?
Azure Data Explorer (ADX) could be the solution you're looking for. ADX is a fast and highly scalable data analytics service that enables you to ingest, analyze, and visualize large amounts of data in near real-time.

And the best part? ADX has a free tier that you can leverage!
And starting today, the free tier of ADX enables you to ingest data from
 Azure Event Hubs

Event hubs is a big data streaming platform, which can process millions of events per second in near real-time.  
Connecting your Event Hub data to Azure Data Explorer is easy and straightforward and can be done in just a few simple steps, using an intuitive "One-Click" ingestion wizard.

Create a new Event Hubs data connection with your free ADX clusterCreate a new Event Hubs data connection with your free ADX cluster

 

Once you've connected your Event Hub data to ADX, you can start analyzing your data using Kusto Query Language (KQL), a powerful language that allows you to query, transform, and visualize your data in real-time. KQL is designed to be intuitive and easy to use, even for non-technical users, so you don't need to be a data scientist or programmer to get started.

With Azure Data Explorer, you can easily analyze and visualize your Event Hub data and even create your own custom dashboards using the built-in ADX dashboard offering. 

In conclusion, if you're looking to connect and analyze your Event Hub data, Azure Data Explorer is a great option. With its powerful analytics capabilities, easy-to-use interface, and free offerings, ADX makes it easy to gain valuable insights from data. So why not give it a try today and see what insights you can uncover?

View the Event Hubs data connectionsView the Event Hubs data connections

Read more and start for free:

Version history
Last update:
‎Mar 22 2023 05:55 AM