Amazon Redshift Cookbook 2nd Edition Recipes For Building Modern Data Warehousing Solutions 2nd Edition Shruti Worlikar by Shruti Worlikar, Harshida Patel, Anusha Challa 9781836206910, 1836206917 instant download after payment.

Set up a petabyte-scale, cloud-based data warehouse that is burstable and built to scale for end-to-end analytical solutions
 
Key Features
• Learn how to translate familiar data warehousing concepts into Redshift implementation
• Use impressive Redshift features to optimize development, productionizing, and operation processes
• Find out how to use advanced features such as concurrency scaling, Redshift Spectrum, and federated queries
 
Amazon Redshift Cookbook offers comprehensive guidance for leveraging AWS's fully managed cloud data warehousing service. Whether you're building new data warehouse workloads or migrating traditional on-premises platforms to the cloud, this essential resource delivers proven implementation strategies. Written by AWS specialists, these easy-to-follow recipes will equip you with the knowledge to successfully implement Amazon Redshift-based data analytics solutions using established best practices.
 
The book focuses on Redshift architecture, showing you how to perform database administration tasks on Redshift. You'll learn how to optimize your data warehouse to quickly execute complex analytic queries against very large datasets. The book covers recipes to help you take full advantage of Redshift's columnar architecture and managed services. You'll discover how to deploy fully automated and highly scalable extract, transform, and load (ETL) processes, helping you minimize the operational effort that you invest in managing regular ETL pipelines and ensuring the timely and accurate refreshing of your data warehouse.
 
Who this book is for
This book is for anyone involved in architecting, implementing, and optimizing an Amazon Redshift data warehouse, including data warehouse developers, data analysts, database administrators, data engineers, and data scientists. Basic knowledge of data warehousing, database systems, as well as cloud concepts and familiarity with Redshift is beneficial.