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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| Superior document: | Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2018 |
|---|---|
| VerfasserIn: | |
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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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| Online Access: | |
| Physical Description: | 1 online resource (VIII, 148 p.) |
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| 100 | 1 | |a Müller, Sebastian, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Big Data Analysen : |b Für den schnellen Einstieg / |c Sebastian Müller. |
| 264 | 1 | |a München ; |a Wien : |b De Gruyter Oldenbourg, |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (VIII, 148 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 0 | |a Softwaretechnik , |x 2364-9801 | |
| 505 | 0 | 0 | |t Frontmatter -- |t Vorwort des Reihenherausgebers -- |t Inhalt -- |t 1. Der Begriff Big Data -- |t 2. Das Hadoop File System und Map-Reduce -- |t 3. Jetzt aber Flink -- |t 4. Die Vielfalt macht’s -- |t 5. Was es noch benötigt -- |t A. Appendix -- |t Literatur -- |t Stichwortverzeichnis |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a 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. | ||
| 520 | |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. | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In German. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) | |
| 650 | 4 | |a Big Data. | |
| 650 | 4 | |a Cloud Computing. | |
| 650 | 4 | |a Data Science. | |
| 650 | 4 | |a Hadoop. | |
| 650 | 7 | |a COMPUTERS / Data Processing. |2 bisacsh | |
| 653 | |a Hadoop. | ||
| 653 | |a big data. | ||
| 653 | |a cloud computing. | ||
| 653 | |a data science. | ||
| 700 | 1 | |a Ulmann, Bernd, |e contributor. |4 ctb |4 https://id.loc.gov/vocabulary/relators/ctb | |
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| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Engineering, Computer Sciences 2018 |z 9783110603118 |o ZDB-23-DEI |
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| 776 | 0 | |c print |z 9783110455526 | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9783110457803 |
| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783110457803 |
| 856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9783110457803/original |
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