Streaming at Scale with Azure Event Hubs, Streaming Analytics, and Azure SQL Part 3: Analyzing and Visualizing the Data

Sander Rossel

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24 Feb 2022CPOL6 min read

How to transform data to produce statistics and visualize data using Power BI

This is Part 3 of a 3-part series that shows how to create an end-to-end streaming solution starting by streaming data into Azure Event Hubs, processing it with Streaming Analytics, and saving the results to a Cosmos DB database. This article demonstrates how to transform the data to produce statistics and visualize the data using Power BI.

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This article is part of the series 'Streaming at Scale with Azure Event Hubs, Streaming Analytics, and Azure SQL View All

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sander Rossel

CEO JUUN Software

Netherlands

Sander Rossel is a Microsoft certified professional developer with experience and expertise in .NET and .NET Core (C#, ASP.NET, and Entity Framework), SQL Server, Azure, Azure DevOps, JavaScript, MongoDB, and other technologies.

He is the owner of JUUN Software, a company specializing in custom software. JUUN Software uses modern, but proven technologies, such as .NET Core, Azure and Azure DevOps.

You can't miss his books on Amazon and his free e-books on Syncfusion!

He wrote a JavaScript LINQ library, arrgh.js (works in IE8+, Edge, Firefox, Chrome, and probably everything else).

Check out his prize-winning articles on CodeProject as well!

Streaming at Scale with Azure Event Hubs, Streaming Analytics, and Azure SQL Part 3: Analyzing and Visualizing the Data

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