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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Bibliographic Details
Published inBusiness intelligence journal Vol. 20; no. 2; p. 44
Main Authors Stockinger, Kurt, van Lingen, Frank, Valente, Marco
Format Magazine Article
LanguageEnglish
Published Seattle Data Warehousing Institute 01.04.2015
Subjects
Batch processing
Best practice
Big Data
Cloud computing
Computer architecture
Computer centers
Data analysis
Data warehouses
Datasets
Fault tolerance
Information management
Internet of Things
Machine learning
Open source software
Programming languages
Studies
Workloads
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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.
Bibliography:content type line 24
ObjectType-Feature-1
SourceType-Magazines-1
ISSN:1547-2825
1944-9615