LEADER 00000cam a2200541 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    190114s2018    caua    o     000 0 eng d 
019    1099548179 
024 8  9781492038054 
029 1  AU@|b000065065665 
029 1  AU@|b000069004311 
035    (OCoLC)1082143733|z(OCoLC)1099548179 
037    CL0501000017|bSafari Books Online 
040    UMI|beng|erda|epn|cUMI|dG3B|dSTF|dMERER|dOCLCF|dOCLCQ|dC6I
       |dAU@|dCNCEN|dOCLCQ|dOCLCO|dKSU|dOCLCQ|dOCLCO|dOCLCL 
049    INap 
099    eBook O'Reilly for Public Libraries 
100 1  Maas, Gerard,|eauthor. 
245 10 Designing fast data application architectures /|cGerard 
       Maas, Stavros Kontopoulos, and Sean Glover.|h[O'Reilly 
       electronic resource] 
250    First edition. 
264  1 Sebastopol, CA :|bO'Reilly Media,|c[2018] 
264  4 |c©2018 
300    1 online resource (1 volume) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
520    Today's digital companies demand real-time insights and 
       immediate action for everything from purchase to 
       fulfillment, recommendation, and more. As a result, many 
       organizations are adopting fast data applications to 
       accelerate the value they extract from data as it flows 
       into the system. With this practical ebook, you'll learn 
       the common architectural patterns that form the foundation
       of successful fast data deployments. Engineers from 
       Lightbend identify the key characteristics of fast data 
       architectures, separate them into functional blocks, and 
       show you how to implement those functions using components
       like those in the SMACK stack-Spark, Mesos, Akka, 
       Cassandra, and Kafka, as well as others. Architects will 
       learn how to choose, combine, and run SMACK stack 
       technologies to build resilient, scalable, and responsive 
       systems that your company requires. This ebook examines: 
       The anatomy of fast data applications: the application 
       model, streaming data sources, processing engines, and 
       data sinks Functional composition of the SMACK stack and 
       extensions The event backbone that connects all the major 
       components of a fast data platform together Compute 
       engines for transforming data into valuable insights 
       Storage systems that form the transition between the fast 
       data domain and client applications Patterns you can use 
       in the data serving layer, including data-driven 
       microservices Container orchestrators in the substrate 
       layer that provide resources to services, frameworks, and 
       applications. 
542    |fCopyright © O'Reilly Media, Inc. 
588 0  Online resource; title from title page (Safari, viewed 
       January 9, 2019). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Application software|xDevelopment. 
650  0 Real-time data processing. 
650  0 Computer network architectures. 
650  6 Logiciels d'application|xDéveloppement. 
650  6 Temps réel (Informatique) 
650  6 Réseaux d'ordinateurs|xArchitectures. 
650  7 Application software|xDevelopment|2fast 
650  7 Computer network architectures|2fast 
650  7 Real-time data processing|2fast 
700 1  Kontopoulos, Stavros,|eauthor. 
700 1  Glover, Sean,|eauthor. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781492038054/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN