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Designing Scalable Data Models in DynamoDB

Understanding how to properly match access patterns to your database technology is a critical part of application development. This course will teach you how to plan, test, and implement different access patterns within DynamoDB.

Fernando Medina Corey - Pluralsight course - Designing Scalable Data Models in DynamoDB
by Fernando Medina Corey

What you'll learn

Mapping access patterns properly to database technologies is a critical challenge for any application development process. In this course, Designing Scalable Data Models in DynamoDB, you’ll gain the ability to create optimized data structures inside of DynamoDB. First, you’ll explore how to properly analyze your functional requirements and access patterns. Next, you’ll discover how to model your access patterns within DynamoDB. Finally, you’ll learn how to leverage the AWS SDKs to make real-world queries and updates to DynamoDB data. When you’re finished with this course, you’ll have the skills and knowledge of table design with DynamoDB needed to create high-performance applications with diverse access patterns.

Table of contents

About the author

Fernando Medina Corey - Pluralsight course - Designing Scalable Data Models in DynamoDB
Fernando Medina Corey

Fernando works full time learning the newest trends and tools in application development in order to share them with application developers and architects. He especially enjoys helping others learn about cloud infrastructure offerings to better support the needs of developers and the organizations that they work with.

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