Amazon Redshift: the definitive guide
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...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media, Inc.
2023
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098135294/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource (416 Seiten) illustrations |
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| spelling | Francis, Rajesh VerfasserIn aut Amazon Redshift the definitive guide by Rajesh Francis, Rajiv Gupta and Milind Oke First edition. Sebastopol, CA O'Reilly Media, Inc. 2023 1 Online-Ressource (416 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index 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. Amazon Web Services (Firm) Machine learning Cloud computing Apprentissage automatique Infonuagique Gupta, Rajiv VerfasserIn aut Oke, Milind VerfasserIn aut |
| spellingShingle | Francis, Rajesh Gupta, Rajiv Oke, Milind Amazon Redshift the definitive guide Amazon Web Services (Firm) Machine learning Cloud computing Apprentissage automatique Infonuagique |
| title | Amazon Redshift the definitive guide |
| title_auth | Amazon Redshift the definitive guide |
| title_exact_search | Amazon Redshift the definitive guide |
| title_full | Amazon Redshift the definitive guide by Rajesh Francis, Rajiv Gupta and Milind Oke |
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| title_full_unstemmed | Amazon Redshift the definitive guide by Rajesh Francis, Rajiv Gupta and Milind Oke |
| title_short | Amazon Redshift |
| title_sort | amazon redshift the definitive guide |
| title_sub | the definitive guide |
| topic | Amazon Web Services (Firm) Machine learning Cloud computing Apprentissage automatique Infonuagique |
| topic_facet | Amazon Web Services (Firm) Machine learning Cloud computing Apprentissage automatique Infonuagique |
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