000			01825nam a2200289Ia 4500
003			OSt
005			20250811160532.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9781482234510
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aD65,8(B):3:(8) Q5 _qCSL
100			_aPries, Kim H _eauthor
245		0	_c/ by Kim H Pries and Robert Dunnigan _aBig data analytics _b: A practical guide for managers
260			_aBoca Raton : _bCRC Press, _c2015.
300			_axix, 556p. _b: ill.
500			_aIndex 541-556p.
520			_aWith this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package. The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses.
650			_a Benefits _9817752
650			_a Discovery _9817753
650			_a Machine learning _9817754
650			_aHadoop _9817755
700			_aDunnigan, Robert _eco-author _9460675
942			_hD65,8(B):3:(8) Q5 _cTEXL _2CC _n0
999			_c6558 _d6558