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Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

Unique Identifier

JETIR2003219

Page Number

1476-1480

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Title

BIG DATA IN E – COMMERCE ANALYTICS : AN OVERVIEW

ISSN

2349-5162

Cite This Article

"BIG DATA IN E – COMMERCE ANALYTICS : AN OVERVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.1476-1480, March-2020, Available :http://www.jetir.org/papers/JETIR2003219.pdf

Abstract

Big data sizes are constantly increasing, currently ranging from a few dozen tera-bytes (TB) to many petabytes (PB) of data in a single data set. Consequently, some of the difficulties related to big data include capture, storage, search, sharing, analytics, and visualizing. Today, enterprises are exploring large volumes of highly detailed data so as to discover facts they didn’t know before. Analytics based on large data samples reveals and leverages business change. However, the larger the set of data, the more difficult it becomes to manage. Naturally, business benefit can commonly be derived from analyzing larger and more complex data sets that require real time or near-real time capabilities; however, this leads to a need for new data architectures, analytical methods, and tools.

Key Words

Big Data, E commerce, DataAnalytics

Cite This Article

"BIG DATA IN E – COMMERCE ANALYTICS : AN OVERVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1476-1480, March-2020, Available at : http://www.jetir.org/papers/JETIR2003219.pdf

Publication Details

Published Paper ID: JETIR2003219
Registration ID: 229224
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 1476-1480
ISSN Number: 2349-5162

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Cite This Article

"BIG DATA IN E – COMMERCE ANALYTICS : AN OVERVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1476-1480, March-2020, Available at : http://www.jetir.org/papers/JETIR2003219.pdf




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