User Tracking and Analytics in Unity

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About This Course

Understanding How Users are Interacting with Your Unity Project

In this series, Richard Morwood will teach you to track how users are interacting with your Unity project - but the core concepts can be extended to anything, be it websites or phone apps. 

It will use AWS Mobile Analytics for data capturing, S3 for data storage, Apache Spark running on DataBricks for transforming the data, and C# with Aurora for presenting the data back inside of Unity 

. All of this would be done using free tools and the AWS free tier. 

Richard, as well as his "student" Nick Carton, will dive deep into this project and give a very solid grounding in cloud computing, managed services, Data Warehousing, reporting, and Analysis!

  • Track how users are interacting with your Unity project - but the core concepts can be extended to anything, be it websites or phone apps.

Course Curriculum

2 Lectures

Instructor

Profile photo of 3D BUZZ Programming and Digital Art training
3D BUZZ Programming and Digital Art training

3D Buzz is a company dedicated to providing the world with quality technical education over 3D animation, programming, game design, and much more. We have been producing training videos since 2001, always pushing the envelope in the development of informative lessons with an engaging and personable format. We try to make the viewer feel more like they're involved in a...

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Review
4.9 course rating
4K ratings
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Lingyu L.
3.5
6 years ago

I gotta say this tutorial saved my ass, but it did take me a lot of time to figure out how to get around deprecated mobile analytics service to get my own project work. Although there are not any documents or source code of their work attached and I cannot even find a way to contact the instructor, their explanation of how aws works is great. For those who try to bring unity and spark together, look into the awssdk git repo and search for s3 package in the issue, and there is someone who has a rather legit method to get the s3 package to work. Then, find a way to store your custom event in the JSON file and upload to s3. After this, you can follow the rest tutorials to utilize databricks and other aws services.

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