LEADER 00000nam a22004097i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu|||unuuu 
008    230808s2023    caua    ob    001 0 eng d 
035    (OCoLC)1393112142 
037    9781098135294|bO'Reilly Media 
040    ORMDA|beng|erda|epn|cORMDA|dOCLCO 
049    INap 
082 04 004.67/82 
082 04 004.67/82|223/eng/20230808 
099    eBook O'Reilly for Public Libraries 
100 1  Francis, Rajesh,|eauthor. 
245 10 Amazon Redshift :|bthe definitive guide /|cby Rajesh 
       Francis, Rajiv Gupta and Milind Oke.|h[O'Reilly electronic
       resource] 
250    First edition. 
264  1 Sebastopol, CA :|bO'Reilly Media, Inc.,|c2023. 
300    1 online resource (416 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references and index. 
520    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. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
610 20 Amazon Web Services (Firm) 
650  0 Machine learning. 
650  0 Cloud computing. 
650  6 Apprentissage automatique. 
650  6 Infonuagique. 
700 1  Gupta, Rajiv,|eauthor. 
700 1  Oke, Milind,|eauthor. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781098135294/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN