Big Data

David Feinleib

Chapter Chapter 1 in Big Data Bootcamp, 2014, pp 1-14 from Springer

Abstract: Abstract Scour the Internet and you’ll find dozens of definitions of Big Data. There are the three v’s—volume, variety, and velocity. And there are the more technical definitions, like this one from Edd Dumbill, analyst at O’Reilly Media: “Big Data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it.”

Keywords: Public Cloud; Private Cloud; Chief Information Officer; Supply Chain Data; Human Search Behavior (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4842-0040-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9781484200407

DOI: 10.1007/978-1-4842-0040-7_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().