Big Data Software Solutions by IBM, Oracle, SAP and Microsoft. A Market Overview (PDF)
(Sprache: Englisch)
Seminar paper from the year 2017 in the subject Computer Science - Software, grade: 1,0, California Lutheran University (Business Administration), course: MBA for Executives, language: English, abstract: In this research paper, the author would like to take...
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Seminar paper from the year 2017 in the subject Computer Science - Software, grade: 1,0, California Lutheran University (Business Administration), course: MBA for Executives, language: English, abstract: In this research paper, the author would like to take a look at the current Big Data vendors, and present the status quo of the leading Big Data solutions.
The Big Data market has grown significantly in the last years. The offered solutions are very sophisticated and cover a broad range of user requirements, and have become more user friendly. In the recent years, several well-known IT companies released new products that specialize in Big Data analysis. The desire to analyze more and more data to gain a better understanding of e.g. customer needs, manufacturing efficiencies or e.g. to create predictive analysis based on past consumer behavior drove the need to enhance the functionality of existing business intelligence solutions towards a more open Big Data architecture, that allows the analysis of massive amounts of structured and unstructured data.
The Big Data market has grown significantly in the last years. The offered solutions are very sophisticated and cover a broad range of user requirements, and have become more user friendly. In the recent years, several well-known IT companies released new products that specialize in Big Data analysis. The desire to analyze more and more data to gain a better understanding of e.g. customer needs, manufacturing efficiencies or e.g. to create predictive analysis based on past consumer behavior drove the need to enhance the functionality of existing business intelligence solutions towards a more open Big Data architecture, that allows the analysis of massive amounts of structured and unstructured data.
Bibliographische Angaben
- Autor: Wolfgang Steinhart
- 2017, 1. Auflage, 21 Seiten, Englisch
- Verlag: GRIN Verlag
- ISBN-10: 3668517282
- ISBN-13: 9783668517288
- Erscheinungsdatum: 05.09.2017
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- Größe: 0.71 MB
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Englisch
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