LEADER 00000nam a2200373M  4500 
003    OCoLC 
005    20240129213017.0 
006    m        d         
007    cr uuu---uuuuu 
008    210519s2021    mau     o     000 0 eng d 
035    (OCoLC)1251776266 
040    GBVCP|bger|erda|cGBVCP 
049    INap 
099    eBook O'Reilly for Public Libraries 
100 1  Waddington, William|eVerfasserIn.|4aut 
245 10 Architecting Data-Intensive SaaS Applications|cWaddington,
       William.|h[O'Reilly electronic resource] 
250    1st edition. 
264  1 [Erscheinungsort nicht ermittelbar]|bO'Reilly Media, Inc.
       |c2021 
264  2 Boston, MA|bSafari 
300    1 online resource (67 pages) 
336    Text|btxt|2rdacontent 
337    Computermedien|bc|2rdamedia 
338    Online-Ressource|bcr|2rdacarrier 
500    Online resource; Title from title page (viewed May 25, 
       2021). 
520    Through explosive growth in the past decade, data now 
       drives significant portions of our lives, from 
       crowdsourced restaurant recommendations to AI systems 
       identifying effective medical treatments. Software 
       developers have unprecedented opportunity to build data 
       applications that generate value from massive datasets 
       across use cases such as customer 360, application health 
       and security analytics, the IoT, machine learning, and 
       embedded analytics. With this report, product managers, 
       architects, and engineering teams will learn how to make 
       key technical decisions when building data-intensive 
       applications, including how to implement extensible data 
       pipelines and share data securely. The report includes 
       design considerations for making these decisions and uses 
       the Snowflake Data Cloud to illustrate best practices. 
       This report explores: Why data applications matter: Get an
       introduction to data applications and some of the most 
       common use cases Evaluating platforms for building data 
       apps: Evaluate modern data platforms to confidently 
       consider the merits of potential solutions Building 
       scalable data applications: Learn design patterns and best
       practices for storage, compute, and security Handling and 
       processing data: Explore techniques and real-world 
       examples for building data pipelines to support data 
       applications Designing for data sharing: Learn best 
       practices for sharing data in modern data applications. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  4 Electronic books ; local. 
700 1  McGinley, Kevin|eVerfasserIn.|4aut 
700 1  Chu, Pui|eVerfasserIn.|4aut 
700 1  Georgievski, Gjorgji|eVerfasserIn.|4aut 
700 1  Kulkarni, Dinesh|eVerfasserIn.|4aut 
710 2  Safari, an O'Reilly Media Company.|eMitwirkendeR.|4ctb 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781098102760/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN