Big Data Analysen : : Für den schnellen Einstieg / / Sebastian Müller.
Big Data ist ein aktuelles Trendthema, doch was versteckt sich dahinter? Big Data beschreibt Daten, die gross oder schnelllebig sind. Big Data bedeutet aber auch, sich mit vielfältigen Datenquellen und Datenformaten zu beschäftigen. Diese Lektüre soll daher eine Einführung in das Ökosystem Big Data...
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| Place / Publishing House: | München ;, Wien : : De Gruyter Oldenbourg, , [2018] ©2018 |
| Year of Publication: | 2018 |
| Language: | German |
| Series: | Softwaretechnik ,
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| Physical Description: | 1 online resource (VIII, 148 p.) |
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Müller, Sebastian, author. aut http://id.loc.gov/vocabulary/relators/aut Big Data Analysen : Für den schnellen Einstieg / Sebastian Müller. München ; Wien : De Gruyter Oldenbourg, [2018] ©2018 1 online resource (VIII, 148 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Softwaretechnik , 2364-9801 Frontmatter -- Vorwort des Reihenherausgebers -- Inhalt -- 1. Der Begriff Big Data -- 2. Das Hadoop File System und Map-Reduce -- 3. Jetzt aber Flink -- 4. Die Vielfalt macht’s -- 5. Was es noch benötigt -- A. Appendix -- Literatur -- Stichwortverzeichnis restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star Big Data ist ein aktuelles Trendthema, doch was versteckt sich dahinter? Big Data beschreibt Daten, die gross oder schnelllebig sind. Big Data bedeutet aber auch, sich mit vielfältigen Datenquellen und Datenformaten zu beschäftigen. Diese Lektüre soll daher eine Einführung in das Ökosystem Big Data sein. Anhand einfacher Beispiele werden Methoden und Technologien zur Handhabung von Big Data aufgezeigt. 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. Issued also in print. Mode of access: Internet via World Wide Web. In German. Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) Big Data. Cloud Computing. Data Science. Hadoop. COMPUTERS / Data Processing. bisacsh big data. cloud computing. data science. Ulmann, Bernd, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2018 9783110603279 ZDB-23-OTI Title is part of eBook package: De Gruyter DG Plus DeG Package 2018 Part 1 9783110762488 Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 9783110719550 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 9783110603255 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 9783110603118 ZDB-23-DEI EPUB 9783110455618 print 9783110455526 https://doi.org/10.1515/9783110457803 https://www.degruyter.com/isbn/9783110457803 Cover https://www.degruyter.com/document/cover/isbn/9783110457803/original |
| language |
German |
| format |
eBook |
| author |
Müller, Sebastian, Müller, Sebastian, |
| spellingShingle |
Müller, Sebastian, Müller, Sebastian, Big Data Analysen : Für den schnellen Einstieg / Softwaretechnik , Frontmatter -- Vorwort des Reihenherausgebers -- Inhalt -- 1. Der Begriff Big Data -- 2. Das Hadoop File System und Map-Reduce -- 3. Jetzt aber Flink -- 4. Die Vielfalt macht’s -- 5. Was es noch benötigt -- A. Appendix -- Literatur -- Stichwortverzeichnis |
| author_facet |
Müller, Sebastian, Müller, Sebastian, Ulmann, Bernd, Ulmann, Bernd, |
| author_variant |
s m sm s m sm |
| author_role |
VerfasserIn VerfasserIn |
| author2 |
Ulmann, Bernd, Ulmann, Bernd, |
| author2_variant |
b u bu b u bu |
| author2_role |
MitwirkendeR MitwirkendeR |
| author_sort |
Müller, Sebastian, |
| title |
Big Data Analysen : Für den schnellen Einstieg / |
| title_sub |
Für den schnellen Einstieg / |
| title_full |
Big Data Analysen : Für den schnellen Einstieg / Sebastian Müller. |
| title_fullStr |
Big Data Analysen : Für den schnellen Einstieg / Sebastian Müller. |
| title_full_unstemmed |
Big Data Analysen : Für den schnellen Einstieg / Sebastian Müller. |
| title_auth |
Big Data Analysen : Für den schnellen Einstieg / |
| title_alt |
Frontmatter -- Vorwort des Reihenherausgebers -- Inhalt -- 1. Der Begriff Big Data -- 2. Das Hadoop File System und Map-Reduce -- 3. Jetzt aber Flink -- 4. Die Vielfalt macht’s -- 5. Was es noch benötigt -- A. Appendix -- Literatur -- Stichwortverzeichnis |
| title_new |
Big Data Analysen : |
| title_sort |
big data analysen : für den schnellen einstieg / |
| series |
Softwaretechnik , |
| series2 |
Softwaretechnik , |
| publisher |
De Gruyter Oldenbourg, |
| publishDate |
2018 |
| physical |
1 online resource (VIII, 148 p.) Issued also in print. |
| contents |
Frontmatter -- Vorwort des Reihenherausgebers -- Inhalt -- 1. Der Begriff Big Data -- 2. Das Hadoop File System und Map-Reduce -- 3. Jetzt aber Flink -- 4. Die Vielfalt macht’s -- 5. Was es noch benötigt -- A. Appendix -- Literatur -- Stichwortverzeichnis |
| isbn |
9783110457803 9783110603279 9783110762488 9783110719550 9783110603255 9783110603118 9783110455618 9783110455526 |
| issn |
2364-9801 |
| url |
https://doi.org/10.1515/9783110457803 https://www.degruyter.com/isbn/9783110457803 https://www.degruyter.com/document/cover/isbn/9783110457803/original |
| illustrated |
Not Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
005 - Computer programming, programs & data |
| dewey-full |
005.7 |
| dewey-sort |
15.7 |
| dewey-raw |
005.7 |
| dewey-search |
005.7 |
| doi_str_mv |
10.1515/9783110457803 |
| oclc_num |
1059283321 |
| work_keys_str_mv |
AT mullersebastian bigdataanalysenfurdenschnelleneinstieg AT ulmannbernd bigdataanalysenfurdenschnelleneinstieg |
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n |
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(DE-B1597)460519 (OCoLC)1059283321 |
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Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2018 Title is part of eBook package: De Gruyter DG Plus DeG Package 2018 Part 1 Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 |
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Big Data Analysen : Für den schnellen Einstieg / |
| container_title |
Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2018 |
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