Grundlagen, Lösungsansätze und Technologien von Big Data
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Grundlagen, Lösungsansätze und Technologien von Big Data

Grundlagen, Lösungsansätze und Technologien von Big Data


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About the Book

Studienarbeit aus dem Jahr 2023 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,3, SRH Fernhochschule, Sprache: Deutsch, Abstract: Die vorliegende Arbeit hat das Ziel, den Lesenden ein Verständnis für die Grundlagen von Big Data zu vermitteln und mögliche Lösungsansätze aufzuzeigen. Dabei liegt der Schwerpunkt auf den Herausforderungen im Umgang damit sowie den dazugehörigen Anforderungen und Technologien. Im ersten Kapitel der Ausführungen werden die grundsätzlichen Herausforderungen erläutert. Es werden im Anschluss die wesentlichen nicht-funktionalen Anforderungen an eine Big Data Architektur beleuchtet, die eine effektive Datenverarbeitung gewährleisten sollen. Anschließend wird das CAP-Theorem vorgestellt, welches bei der Gestaltung von Big Data Architekturen eine wichtige Rolle spielt. Konkrete Beispiele verdeutlichen den Lesenden, inwiefern das CAP-Theorem in der Praxis Anwendung findet. Fünf Lösungsansätze zum Umgang mit Big Data werden im Anschluss dargelegt. Hierbei werden unterschiedliche Möglichkeiten zur Datenverarbeitung und Analyse aufgezeigt, welche den Einsatz von Big Data in Unternehmen möglichst einfach und effizient gestalten. Diesbezüglich werden im letzten Kapitel verschiedene Technologien vorgestellt, die in der Regel Anwendung finden. Zusätzlich werden die wesentlichen Schritte einer Datapipeline erläutert, um ein besseres Verständnis für die Datenverarbeitung und -analyse im Kontext von Big Data zu schaffen. Die Lesenden sollen durch diese Arbeit mit einer soliden Grundlage ausgestattet werden, die dazu befähigt, Herausforderungen zu verstehen sowie Potenziale und Technologien zu kennen. Dadurch wird die Fähigkeit verbessert, Big Data effektiv zu handhaben und Nutzen daraus zu ziehen.


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Product Details
  • ISBN-13: 9783346900869
  • Publisher: Bod Third Party Titles
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Sub Title: Big Data und Smart Services
  • Width: 148 mm
  • ISBN-10: 334690086X
  • Publisher Date: 28 Jun 2023
  • Height: 210 mm
  • No of Pages: 34
  • Spine Width: 2 mm
  • Weight: 109 gr


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