Amazon Redshift powers analytic cloud data warehouses worldwide, from startups to some of the largest enterprise data warehouses available today. This practical guide thoroughly examines this managed service and demonstrates how you can use it to extract value from your data immediately, rather than go through the heavy lifting required to run a typical data warehouse.

Analytic specialists Rajesh Francis, Rajiv Gupta, and Milind Oke detail Amazon Redshift's underlying mechanisms and options to help you explore out-of-the box automation. Whether you're a data engineer who wants to learn the art of the possible or a DBA looking to take advantage of machine learning-based auto-tuning, this book helps you get the most value from Amazon Redshift.

By understanding Amazon Redshift features, you'll achieve excellent analytic performance at the best price, with the least effort. This book helps you:

Build a cloud data strategy around Amazon Redshift as foundational data warehouse

Get started with Amazon Redshift with simple-to-use data models and design best practices

Understand how and when to use Redshift Serverless and Redshift provisioned clusters

Take advantage of auto-tuning options inherent in Amazon Redshift and understand manual tuning options

Transform your data platform for predictive analytics using Redshift ML and break silos using data sharing

Learn best practices for security, monitoring, resilience, and disaster recovery

Leverage Amazon Redshift integration with other AWS services to unlock additional value