LEADER 00000cam a2200733 a 4500 
001    826867525 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    130206s2012    caua    o     000 0 eng d 
019    814278281|a968010569|a969005162 
020    1449324010 
020    9781449324018 
020    9781449324049|q(electronic bk.) 
020    1449324045|q(electronic bk.) 
020    9781449324056|q(electronic bk.) 
020    1449324053|q(electronic bk.) 
029 1  AU@|b000050591415 
029 1  DEBBG|bBV041120315 
029 1  DEBSZ|b39668209X 
035    (OCoLC)826867525|z(OCoLC)814278281|z(OCoLC)968010569
       |z(OCoLC)969005162 
037    CL0500000190|bSafari Books Online 
037    9C00C0FC-9FBC-4DE6-82DB-9DB3A6DEB344|bOverDrive, Inc.
       |nhttp://www.overdrive.com 
040    UMI|beng|epn|cUMI|dCOO|dDEBSZ|dOCLCQ|dN$T|dTEFOD|dYDXCP
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       |dOCLCQ|dOCLCO|dBRL|dCEF|dUAB|dUKAHL|dOCLCQ|dINARC|dOCLCO
       |dOCLCQ|dOCLCO|dOCLCQ 
049    INap 
082 04 658.4033 
082 04 658.4033|223 
099    eBook O’Reilly for Public Libraries 
100 1  Leibiusky, Jonathan. 
245 10 Getting started with Storm /|cJonathan Leibiusky, Gabriel 
       Eisbruch, Dario Simonassi.|h[O'Reilly electronic resource]
260    Sebastopol, CA :|bO'Reilly Media,|c©2012. 
300    1 online resource (1 volume) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rda 
520    Even as big data is turning the world upside down, the 
       next phase of the revolution is already taking shape: real
       -time data analysis. This hands-on guide introduces you to
       Storm, a distributed, JVM-based system for processing 
       streaming data. Through simple tutorials, sample Java code,
       and a complete real-world scenario, you'll learn how to 
       build fast, fault-tolerant solutions that process results 
       as soon as the data arrives. Discover how easy it is to 
       set up Storm clusters for solving various problems, 
       including continuous data computation, distributed remote 
       procedure calls, and data stream processing. Learn how to 
       program Storm components: spouts for data input and bolts 
       for data transformation Discover how data is exchanged 
       between spouts and bolts in a Storm topology Make spouts 
       fault-tolerant with several commonly used design 
       strategies Explore bolts--their life cycle, strategies for
       design, and ways to implement them Scale your solution by 
       defining each component's level of parallelism Study a 
       real-time web analytics system built with Node.js, a Redis
       server, and a Storm topology Write spouts and bolts with 
       non-JVM languages such as Python, Ruby, and Javascript. 
588 0  Print version record. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
630 00 Storm (Computer file) 
630 07 Storm (Computer file)|2blmlsh 
630 07 Storm (Computer file)|2fast 
650  0 Database management. 
650  0 Computer programming. 
650  6 Bases de données|xGestion. 
650  6 Programmation (Informatique) 
650  7 computer programming.|2aat 
650  7 Database management|2fast 
650  7 Computer programming|2fast 
700 1  Eisbruch, Gabriel. 
700 1  Simonassi, Dario. 
776 08 |iPrint version:|aLeibiusky, Jonathan.|tGetting started 
       with storm.|dSebastopol, Calif. : O'reilly, 2012
       |z9781449324018|w(OCoLC)775415895 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781449324025/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    Internet Archive|bINAR|ngettingstartedwi0000leib 
938    Askews and Holts Library Services|bASKH|nAH26901486 
938    Askews and Holts Library Services|bASKH|nAH26900758 
938    ProQuest Ebook Central|bEBLB|nEBL1017125 
938    EBSCOhost|bEBSC|n487794 
938    ProQuest MyiLibrary Digital eBook Collection|bIDEB
       |ncis28411014 
938    YBP Library Services|bYANK|n9893334 
938    YBP Library Services|bYANK|n11201917 
994    92|bJFN