AWS Big Data Blog
Tag: Gaming
How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier
This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. This post […]
Decreasing Game Churn: How Upopa used ironSource Atom and Amazon ML to Engage Users
This is a guest post by Tom Talpir, Software Developer at ironSource. ironSource is as an Advanced AWS Partner Network (APN) Technology Partner and an AWS Big Data Competency Partner. Ever wondered what it takes to keep a user from leaving your game or application after all the hard work you put in? Wouldn’t it be great […]
Building an Event-Based Analytics Pipeline for Amazon Game Studios’ Breakaway
All software developers strive to build products that are functional, robust, and bug-free, but video game developers have an extra challenge: they must also create a product that entertains. When designing a game, developers must consider how the various elements—such as characters, story, environment, and mechanics—will fit together and, more importantly, how players will interact […]
Powering Gaming Applications with Amazon DynamoDB
Nate Wiger is Principal Gaming Solutions Architect for AWS. Dave Lang, Senior Product Manager for Amazon DynamoDB, also contributed to this article. Amazon DynamoDB is rapidly becoming the go-to database for many of the fastest-growing games in the world. Games like Fruit Ninja (from Halfbrick Studios) and Battle Camp (from PennyPop) have leveraged Amazon DynamoDB’s […]