Big Data Analytics in a Connected World
Enterprises often struggle with the design of big data architectures. Some argue that the traditional data warehouse is the silver bullet for solving most data-intensive enterprise problems; others claim that the new big data ecosystem based on Hadoop is a much better solution. In this article we di...
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Published in | Business intelligence journal Vol. 20; no. 2; p. 44 |
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Main Authors | , , |
Format | Magazine Article |
Language | English |
Published |
Seattle
Data Warehousing Institute
01.04.2015
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Subjects | |
Online Access | Get full text |
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Summary: | Enterprises often struggle with the design of big data architectures. Some argue that the traditional data warehouse is the silver bullet for solving most data-intensive enterprise problems; others claim that the new big data ecosystem based on Hadoop is a much better solution. In this article we discuss industry analytics use cases with a particular focus on the Internet of things (IoT), describe the challenges and opportunities of each case, and provide guidelines and best practices for choosing the most appropriate technology. |
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Bibliography: | content type line 24 ObjectType-Feature-1 SourceType-Magazines-1 |
ISSN: | 1547-2825 1944-9615 |