Datenorganisation in Big Data. Das 5V-Modell unter Einbezug dynamischer AV-Daten
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Studienarbeit aus dem Jahr 2022 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,1, Berufsakademie Rhein-Main in Rödermark, Veranstaltung: Software Engineering und IT-Projektmanagement, Sprache: Deutsch, Abstract: Weltweit sind Unternehmen mit immer grö er werdenden Datenmengen konfrontiert, mit denen sie jedoch nichts anzufangen wissen. Denn Big Data ist komplex und bringt unterschiedlichste Herausforderungen mit sich, welchen Datenanalysten in bisherigen IT-Projekten nicht in dieser Art und Weise begegnet sind. Diese Herausforderungen werden mit dem sogenannten 5V-Modell dargestellt und beschreiben, was beim Analysieren von Big Data zu beachten ist. In dieser Seminararbeit werden daher die einzelnen Elemente des 5V-Modells sowie die Herausforderungen, die sie mit sich bringen, erläutert. Zudem wird gezeigt, wie diese Herausforderungen in der Praxis zu bewältigen sind und inwiefern herkömmliche Ressourcen nicht dazu in der Lage wären, dies zu bewerkstelligen. Hierzu wird als Einstieg in die Erläuterung des 5V-Modells zuerst der Begriff Big Data definiert, wodurch der Grund für das Bestehen des Modells deutlich wird. Im Anschluss wird kurz dessen Entstehungsgeschichte vorgestellt und danach die einzelnen Bestandteile näher erläutert sowie ihre Herausforderungen anhand von Beispielen verdeutlicht. Zum Abschluss wird anhand des autonomen Fahrens die besondere Komplexität der Echtzeitverarbeitung von audiovisuellen Daten (AV-Daten) dargestellt.
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