000			02037cam a22003011i 4500
003			SA-RiNAUS
005			20220323144604.0
008			160928t2021 xxua f bi 000 0 eng
020			_a9781647282943
040			_aSA-RiNAUS _bara _cSA-RiNAUS _erda
082			_221 _a005.74 _bB D B
100	1		_eمؤلف
245	0	0	_aBig Data : _bPrinciples and Practice / _c[editor] Ethan Wright.
264		1	_aUnited States : _bWillford Press, _c[2021] _m[1442]
264		1	_a©2021
300			_a234 pages : _b Illustrations ; _c30 cm
500			_aIncludes index.
504			_aIncludes bibliographical references.
520	0		_aBig data is a field that deals with the ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many columns offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate challenges associated with. Big data analysis comprise capturing data, data storage, data analysis, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data is associated with three key concepts of volume, variety, and velocity. Big data has applications for government, international development, healthcare, education, insurance, media, the internet of things, and IT. This book outlines the principles and applications of big data in detail. It discusses the fundamentals as well as modern approaches of this field. As big data is emerging at a rapid pace, the contents of this book will help the readers understand the modern concepts and applications of the subject
650		0	_aManagement information systems.
650		0	_aComputer science.
650		0	_aDatabase management. _930425
650		0	_aData structures (Computer science). _927993
650		0	_aSoftware engineering. _930426
700			_a Wright, Ethan _eeditor. _930430
942			_2ddc _cBK
999			_c32518 _d32517