Building Data Analytics Solutions Using Amazon Redshift

In this Building Data Analytics Solutions Using Amazon Redshift course, you will learn how to:
Compare the features and benefits of data warehouses, data lakes, and modern data architectures
Design and implement a data warehouse analytics solution
Identify and apply appropriate techniques, including compression, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store data
Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
Secure data at rest and in transit
Monitor analytics workloads to identify and remediate problems
Apply cost management best practices
Building Data Analytics Solutions Using Amazon Redshift Prerequisites
We recommend that attendees of this course have:
Completed either AWS Technical Essentials or Architecting on AWS
Completed Building Data Lakes on AWS