IBM InfoSphere Streams : assembling continuous insight in the information revolution
(eBook)
Frenkiel, Andy, author.
Gedik, Buğra, author.
Koranda, Michael P., author.
Nathan, Senthil, author.
Description
Also in this Series
More Details
Notes
Citations
Ballard, C., Foster, K., Frenkiel, A., Gedik, B., Koranda, M. P., Nathan, S., Rajan, D., Rea, R., Spicer, M., Williams, B., & Zoubov, V. N. (2011). IBM InfoSphere Streams: assembling continuous insight in the information revolution . IBM Corporation.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Chuck, Ballard et al.. 2011. IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution. IBM Corporation.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Chuck, Ballard et al.. IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution IBM Corporation, 2011.
MLA Citation, 9th Edition (style guide)Ballard, Chuck,, et al. IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution IBM Corporation, 2011.
Staff View
Grouping Information
Grouped Work ID | 12fd00e8-6a18-3340-8971-460d8b54b3d8-eng |
---|---|
Full title | ibm infosphere streams assembling continuous insight in the information revolution |
Author | ballard chuck |
Grouping Category | book |
Last Update | 2024-09-06 16:31:08PM |
Last Indexed | 2024-09-28 02:41:41AM |
Book Cover Information
Image Source | default |
---|---|
First Loaded | Sep 29, 2024 |
Last Used | Sep 29, 2024 |
Marc Record
First Detected | Jul 29, 2024 04:08:38 PM |
---|---|
Last File Modification Time | Sep 06, 2024 04:54:49 PM |
MARC Record
LEADER | 03998cam a22004937i 4500 | ||
---|---|---|---|
001 | on1398334883 | ||
003 | OCoLC | ||
005 | 20240830103855.0 | ||
006 | m o d | ||
007 | cr cnu|||unuuu | ||
008 | 230920s2011 caua ob 001 0 eng d | ||
020 | |z 9780738436159 | ||
035 | |a (OCoLC)1398334883 | ||
037 | |a 0738436151|b O'Reilly Media | ||
040 | |a ORMDA|b eng|e rda|e pn|c ORMDA|d OCLCO|d OCLCF|d INARC|d OCLCL | ||
049 | |a FMGA | ||
050 | 4 | |a TK5105.386 | |
082 | 0 | 4 | |a 004/.33|2 23/eng/20230920 |
100 | 1 | |a Ballard, Chuck,|e author.|0 http://id.loc.gov/authorities/names/n2004112205 | |
245 | 1 | 0 | |a IBM InfoSphere Streams :|b assembling continuous insight in the information revolution /|c Chuck Ballard, Kevin Foster, Andy Frenkiel, Bugra Gedik, Michael P. Koranda, Senthil Nathan, Deepak Rajan, Roger Rea, Mike Spicer, Brian Williams, Vitali N. Zoubov. |
264 | 1 | |a [San Jose, California] :|b IBM Corporation,|c [2011] | |
300 | |a 1 online resource (456 pages) :|b illustrations | ||
336 | |a text|b txt|2 rdacontent | ||
337 | |a computer|b c|2 rdamedia | ||
338 | |a online resource|b cr|2 rdacarrier | ||
490 | 1 | |a Redbooks | |
504 | |a Includes bibliographical references and index. | ||
520 | |a In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphere™ Streams (V2), a new paradigm and key component of IBM Big Data platform. Data has traditionally been stored in files or databases, and then analyzed by queries and applications. With stream computing, analysis is performed moment by moment as the data is in motion. In fact, the data might never be stored (perhaps only the analytic results). The ability to analyze data in motion is called real-time analytic processing (RTAP). IBM InfoSphere Streams takes a fundamentally different approach to Big Data analytics and differentiates itself with its distributed runtime platform, programming model, and tools for developing and debugging analytic applications that have a high volume and variety of data types. Using in-memory techniques and analyzing record by record enables high velocity. Volume, variety and velocity are the key attributes of Big Data. The data streams that are consumable by IBM InfoSphere Streams can originate from sensors, cameras, news feeds, stock tickers, and a variety of other sources, including traditional databases. It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams. This book is intended for professionals that require an understanding of how to process high volumes of streaming data or need information about how to implement systems to satisfy those requirements. See: http://www.redbooks.ibm.com/abstracts/sg247865.html for the IBM InfoSphere Streams (V1) release. | ||
650 | 0 | |a Streaming technology (Telecommunications)|0 http://id.loc.gov/authorities/subjects/sh99000996 | |
650 | 0 | |a Real-time data processing.|0 http://id.loc.gov/authorities/subjects/sh85111765 | |
650 | 0 | |a Parallel processing (Electronic computers)|0 http://id.loc.gov/authorities/subjects/sh85097826 | |
700 | 1 | |a Foster, Kevin,|e author. | |
700 | 1 | |a Frenkiel, Andy,|e author. | |
700 | 1 | |a Gedik, Buğra,|e author.|0 http://id.loc.gov/authorities/names/nb2014004961 | |
700 | 1 | |a Koranda, Michael P.,|e author. | |
700 | 1 | |a Nathan, Senthil,|e author. | |
700 | 1 | |a Rajan, Deepak,|e author. | |
700 | 1 | |a Rea, Roger,|e author. | |
700 | 1 | |a Spicer, Mike,|e author. | |
700 | 1 | |a Williams, Brian,|e author. | |
700 | 1 | |a Zoubov, Vitali N.,|e author. | |
758 | |i has work:|a IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution (Text)|1 https://id.oclc.org/worldcat/entity/E39PD3m34Jgdgt4fcdWRY3TF4y|4 https://id.oclc.org/worldcat/ontology/hasWork | ||
830 | 0 | |a IBM redbooks.|0 http://id.loc.gov/authorities/names/n00008733 | |
856 | 4 | 0 | |u https://www.aclib.us/OReilly |