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Leader |
LDR
|
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cam i 00 |
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Control # |
1
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hbl99063013 |
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Control # Id |
3
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GCG |
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Date |
5
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20201103110351.0 |
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Fixed Data |
8
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140324s2014 enka b 001 0 eng |
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LC Card |
10
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$a 2014003185 |
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ISBN |
20
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$a9781107015548 (hardback : alk. paper) |
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Obsolete |
39
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$a290824$cTLC |
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Cat. Source |
40
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$aDLC$beng$erda$cDLC$dDLC$dGCG |
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Authen. Ctr. |
42
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$apcc |
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LC Call |
50
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00 |
$aQA76.9.D338$bA53 2014 |
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Dewey Class |
82
|
00 |
$a004.2/2$223 |
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ME:Pers Name |
100
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1 |
$aAndrade, Henrique C. M.$eauthor. |
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Title |
245
|
10 |
$aFundamentals of stream processing :$bapplication design, systems, and analytics /$cHenrique C.M. Andrade, JP Morgan, New York, Bugra Gedik, Bilkent University, Turkey, Deepak S. Turaga, IBM Thomas J. Watson Research Center, New York. |
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Imprint |
260
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$aCambridge, United Kingdom ;$aNew York :$bCambridge University Press,$c[2014] |
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Phys Descrpt |
300
|
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$axxvii, 529 pages :$billlustrations ;$c26 cm |
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Tag 336 |
336
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$atext$btxt$2rdacontent |
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Tag 337 |
337
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$aunmediated$bn$2rdamedia |
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Tag 338 |
338
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$avolume$bnc$2rdacarrier |
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Note:Bibliog |
504
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$aIncludes bibliographical references and index. |
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Note:Content |
505
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0 |
$aPart I Fundamentals: 1. What brought us here? Overview -- Toward continuous data processing: the requirements -- Stream processing foundations -- Stream processing -- tying it all together -- 2. Introduction to stream processing. Overview -- Stream Processing Applications -- Information flow processing technologies -- Stream Processing Systems -- Part II Application development: 3. Application development -- the basics. Overview -- Characteristics of SPAs -- Introduction to SPL -- Common stream processing operators -- 4. Application development -- data flow programming. Overview -- Flow composition -- Flow manipulation -- 5. Large-scale development -- modularity, extensibility, and distribution. Overview -- Modularity and extensibility -- Distributed programming -- 6. Visualization and debugging. Overview -- Visualization -- Debugging -- Part III System Architecture: 7. Architecture of a stream processing system. Overview -- Architectural building blocks -- Architectural overview -- 8. InfoSphere Streams architecture. Overview -- Background and history -- A user's perspective -- Components -- Services -- Part IV Application and design and analytics: 9. Design principles and patterns for stream processing applications. Overview -- Functional design patterns and principles -- Non-functional principles and design patterns -- 10. Stream analytics: data pre-processing and transformation. Overview -- The mining process -- Notation -- Descriptive statistics -- Sampling -- Sketches -- Quantization -- Dimensionality reduction -- Transforms -- 11. Stream analytics: modeling and evaluation. Overview -- Offline modeling and online evaluation -- Data stream classification -- Data stream clustering -- Data stream regression -- Data stream frequent pattern mining -- Anomaly detection -- Part V Case Studies: 12. Applications. Overview -- The Operations Monitoring application -- The Patient Monitoring application -- The Semiconductor Process Control application -- Part VI Closing notes: 13. Conclusion. Book summary -- Challenges and open problems -- Where do we go from here? -- References. |
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Subj:Topical |
650
|
0 |
$aData flow computing. |
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Subj:Topical |
650
|
0 |
$aSIMD (Computer architecture) |
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AE:Pers Name |
700
|
1 |
$aGedik, Bugra,$eauthor. |
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AE:Pers Name |
700
|
1 |
$aTuraga, Deepak S.$eauthor. |
