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Daniel Fasel & Andreas Meier 
Big Data [PDF ebook] 
Grundlagen, Systeme und Nutzungspotenziale

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perlindungan daripada Daniel Fasel & Andreas Meier: Big Data (PDF)


Dieser Herausgeber-Band bietet eine umfassende Einführung in das Gebiet Big Data. Neben einer Markteinschätzung und grundlegenden Konzepten (semantische Modellbildung, Anfragesprachen, Konsistenzgewährung etc.) werden wichtige No SQL-Systeme (Key/Value Store, Column Store, Document Store, Graph Database) vorgestellt und erfolgreiche Anwendungen aus unterschiedlichen Perspektiven erläutert. Eine Diskussion rechtlicher Aspekte und ein Vorschlag zum Berufsbild des Data Scientist runden das Buch ab. Damit erhält die Leserschaft Handlungsempfehlungen für die Nutzung von Big-Data-Technologien im Unternehmen.

€62.99
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Big Data und No SQL.- Marktpotenzial Big Data.- Berufsbild Data Scientist.- Rechtliche Aspekte.- Big Data und Cloud.- Big Data und Mobilität.- Semantische Suchverfahren.- Wissensmanagement.– Fallbeispiele

Mengenai Pengarang


Daniel Fasel ist Gründer und CEO von Scigility AG, Schweiz. Scigility bietet Consulting, Softwareentwicklung, Betrieb und Training im Big-Data-Bereich an. Zuvor war er Data Scientist im Business Intelligence Team der Swisscom AG und unterstützte die Umsetzung der neuen Big-Data-Strategie für explorative Analytik. 2012 erhielt er den Doktortitel in Wirtschaftsinformatik von der Universität Fribourg.

Andreas Meier ist Professor für Wirtschaftsinformatik an der Universität Fribourg, Schweiz. Seine Forschungsgebiete sind e Business, e Government und Informationsmanagement. Er habilitierte an der ETH in Zürich und forschte am IBM Research Lab in Kalifornien (USA), war Systemingenieur bei der IBM Schweiz, Direktor bei der Großbank UBS und Geschäftsleitungsmitglied bei der CSS Versicherung.

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Bahasa Jerman ● Format PDF ● Halaman-halaman 380 ● ISBN 9783658115890 ● Saiz fail 12.4 MB ● Penyunting Daniel Fasel & Andreas Meier ● Penerbit Springer Fachmedien Wiesbaden GmbH ● Bandar raya Wiesbaden ● Negara DE ● Diterbitkan 2016 ● Muat turun 24 bulan ● Mata wang EUR ● ID 4909429 ● Salin perlindungan Social DRM

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