Designing Scalable Data Models in DynamoDB
Designing Scalable Data Models in DynamoDB
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 55m | 150 MB
Instructor: Fernando Medina Corey
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 55m | 150 MB
Instructor: Fernando Medina Corey
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
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.
Designing Scalable Data Models in DynamoDB
