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02855nam a2200457 4500 |
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190219s2019 gw | s |||| 0|eng d |
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|a 9783319775258
|9 978-3-319-77525-8
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|a 10.1007/978-3-319-77525-8
|2 doi
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|a 005.7
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|a Encyclopedia of Big Data Technologies
|h [electronic resource] /
|c edited by Sherif Sakr, Albert Zomaya.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a 429 illus., 233 illus. in color. eReference.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 250 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science. Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.
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|a Big data.
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|a Computers.
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|a Big Data.
|0 http://scigraph.springernature.com/things/product-market-codes/I29120
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|a Information Systems and Communication Service.
|0 http://scigraph.springernature.com/things/product-market-codes/I18008
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|a Big Data/Analytics.
|0 http://scigraph.springernature.com/things/product-market-codes/522070
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700 |
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|a Sakr, Sherif.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Zomaya, Albert.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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2 |
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|a SpringerLink (Online service)
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|t Springer Nature eReference
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|i Printed edition:
|z 9783319775241
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|i Printed edition:
|z 9783319775265
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|u https://doi.org/10.1007/978-3-319-77525-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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|a Computer Science (Springer-11645)
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