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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller: Big River Books, Powder Springs, GA, U.S.A.
Condition: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Paperback. Condition: New. 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 warehouseGet started with Amazon Redshift with simple-to-use data models and design best practicesUnderstand how and when to use Redshift Serverless and Redshift provisioned clustersTake advantage of auto-tuning options inherent in Amazon Redshift and understand manual tuning optionsTransform your data platform for predictive analytics using Redshift ML and break silos using data sharingLearn best practices for security, monitoring, resilience, and disaster recoveryLeverage Amazon Redshift integration with other AWS services to unlock additional value.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Oreilly & Associates Inc, 2024
ISBN 10: 109813530X ISBN 13: 9781098135300
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 550 pages. 9.19x7.00x0.93 inches. In Stock.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: New. 2023. 1st Edition. paperback. . . . . .
Condition: New. 2023. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Paperback. Condition: New. 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 warehouseGet started with Amazon Redshift with simple-to-use data models and design best practicesUnderstand how and when to use Redshift Serverless and Redshift provisioned clustersTake advantage of auto-tuning options inherent in Amazon Redshift and understand manual tuning optionsTransform your data platform for predictive analytics using Redshift ML and break silos using data sharingLearn best practices for security, monitoring, resilience, and disaster recoveryLeverage Amazon Redshift integration with other AWS services to unlock additional value.