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190114s2018 gw a ob 001 0 ger d |
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|a 1227044848
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|a 9783110455526
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|a UAMI
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1 |
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|a Mueller, Sebastian,
|e author.
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|a Big Data analysen :
|b für den schnellen Einstieg /
|c Sebastian Müller.
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264 |
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|a Berlin ;
|a Boston :
|b Walter de Gruyter,
|c [2018]
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264 |
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|c ©2018
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300 |
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|a 1 online resource (1 volume) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Softwaretechnik ;
|v Band 3
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588 |
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|a Print version record.
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504 |
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|a Includes bibliographical references and index.
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|a Der Begriff Big Data -- Das Hadoop File System und Map-Reduce -- Jetzt aber flink -- Die Vielfalt macht's -- Was es noch benaötigt.
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520 |
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|a This book uses concrete examples to illustrate how it is possible to rapidly and easily master the theme of big data using cloud computing. It shows the reader how to write one's first MapReduce program in Java, test it locally, and then proceed to its baptism of fire in the Cloud--
|c Provided by publisher.
|
590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
|
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|a Cloud computing.
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650 |
|
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|a Big data.
|
650 |
|
6 |
|a Infonuagique.
|
650 |
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6 |
|a Données volumineuses.
|
650 |
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7 |
|a Big data.
|2 fast
|0 (OCoLC)fst01892965
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650 |
|
7 |
|a Cloud computing.
|2 fast
|0 (OCoLC)fst01745899
|
776 |
0 |
8 |
|i Print version:
|a Mueller, Sebastian.
|t Big data analysen.
|d Berlin ; Boston : Walter de Gruyter GmbH, [2018]
|z 9783110455526
|w (DLC) 2018024039
|w (OCoLC)1039221982
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830 |
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0 |
|a De Gruyter Softwaretechnik.
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856 |
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