000			nam a22 7a 4500
999			_c70407 _d70407
001			6230638
003			FUTML
005			20211025130852.0
007			ta
008			250414s2014 xx a gr 1 eng
020			_z9781466586550
020			_z9781466586512
020			_z1466586516
020			_z1138073199
020			_z9781138073197
020			_z0429168748
020			_z9780429168741
037			_aB-42890
040			_dFUTML _aFUTML _bENG _cFUTML
050			_aG70.2. _b.B53 2014
245	1	0	_aBig Data: _cEdited by Hassan A. Karimi _bTechniques and Technologies in Geoinformatics/ _hPrint
250			_a1st edition.
260			_aLondon: _bCRC Press, _c2014.
264		1	_bCRC Press, _c2014.
300			_axiv, 298p.: _bill.; _c24cm.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file
504			_aIncludes Index
520			_aBig data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data ef
590			_aB-42890/EDIMEH/25/10/21
650			_aGeospatial Data _932515
650			_aBig Data _931224
650			_aGeographical Information Systems _932530
650			_aGeoinformatics _931322
700			_4editor _aKarimi, H. A _932531
912			_aAustine Edimeh _bAustine Edimeh _cAustine Edimeh
942			_2lcc _cBKS
949			_aIBB Library, GK. _cG70.2.B53 _d.B53 _nNC 1