Amazon Redshift is a fully managed, petabyte-scale AWS cloud data warehousing service. It enables you to build new data warehouse workloads on AWS and migrate on-premises traditional data warehousing platforms to Redshift.
This book on Amazon Redshift starts by focusing on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll then learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. Because of the massive amount of data involved in data warehousing, designing your database for analytical processing lets you take full advantage of Redshift's columnar architecture and managed services. As you advance, you'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, which help minimize the operational efforts that you have to invest in managing regular ETL pipelines and ensure the timely and accurate refreshing of your data warehouse.
By the end of this Redshift book, you'll be able to implement a Redshift-based data analytics solution and have understood the best practice solutions to commonly faced problems.

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Spis treści

Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions - Second Edition eBook -- spis treści

• 1. Getting Started with Amazon Redshift
• 2. Data Management
• 3. Loading and Unloading Data
• 4. Zero-ETL Ingestions
• 5. Scalable Data Orchestration for Automation
• 6. Platform Authorization and Security
• 7. Data Authorization and Security
• 8. Performance Optimization
• 9. Cost Optimization
• 10. Lakehouse Architecture
• 11. Data Sharing with Amazon Redshift
• 12. Generative AI and ML with Amazon Redshift