000			03133cam a2200385 a 4500
008			131218s2014 fluab b 001 0 eng
010			_a 2013047353
020			_a9781466586512
020			_a1466586516 (hardback : acid-free paper)
040			_aDLC _beng _cDLC _dDLC
042			_apcc
050	0	0	_aG70.2 _b.B54 2014
082	0	0	_a910.285/57 _223
084			_aMAT000000 _aTEC036000 _aTEC041000 _2bisacsh
245	0	0	_aBig data : _btechniques and technologies in geoinformatics / _cedited by Hassan A. Karimi
260			_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2014.
260			_c©2014
300			_axiv, 298 p. : _bill., maps ; _c24 cm.
504			_aIncludes bibliographical references and index.
520			_a"Preface What is big data? Due to increased interest in this phenomenon, many recent papers and reports have focused on defining and discussing this subject. A review of these publications would point to a consensus about how big data is perceived and explained. It is widely agreed that big data has three specific characteristics: volume, in terms of large-scale data storage and processing; variety, or the availability of data in different types and formats; and velocity, which refers to the fast rate of new data acquisition. These characteristics are widely referred to as the three Vs of big data, and while projects involving datasets that only feature one of these Vs are considered to be big, most datasets from such fields as science, engineering, and social media feature all three Vs. To better understand the recent spurt of interest in big data, I provide here a new and different perspective on it. I argue that the answer to the question of "What is big data?" depends on when the question is asked, what application is involved, and what computing resources are available. In other words, understanding what big data is requires an analysis of time, applications, and resources. In light of this, I categorize the time element into three groups: past (since the introduction of computing several decades ago), near-past (within the last few years), and present (now). One way of looking at the time element is that, in general, big data in the past meant dealing with gigabyte-sized datasets, in the near-past, terabyte-sized datasets, and in the present, petabyte-sized datasets. I also categorize the application element into three groups: scientific (data used for complex modeling, analysis, and simulation), business (data used for business analysis and modeling), and general"-- _cProvided by publisher.
650		0	_aGeography _xData processing
650		0	_aBig data
650		0	_aGeographic information systems
650		0	_aGeospatial data
650		0	_aHigh performance computing
650		7	_aMATHEMATICS / General _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING / Telecommunications _2bisacsh
700	1		_aKarimi, Hassan A. _eEdited by
035			_a(IMchF)fol15053888
005			20170126100640.0
001			59543
003			UOWD
942			_cREGULAR
999			_c25643 _d25643