000			01842nam a2200217 4500
005			20250402145519.0
008			250402b |||||||| |||| 00| 0 eng d
020			_a9798888360729
037			_cTextual
040			_aRTL _cRTL
084			_aU:(D6,9(B) R3 _qRTL
245			_aBig data: techniques and technologies in Geoscience
260			_aNew York _bLarsen & Keller _c2023
300			_avii, 242p. _bIncludes list of contributors and index
520			_aBig data refers to a collection of data that is enormous in volume and is expanding at exponential rates with the passage of time. It is a dataset that is too large and complex for traditional data management tools to process or store it effectively. There are various types of big data including semi-structured, structured and unstructured. Big data technologies are used in a number of industries and fields including banking, communication, healthcare, geosciences, astrophysics, and trade. The geographic information systems (GISs) are an important application of big data in geosciences, which aid in creating, managing, analyzing and mapping all types of geospatial data. GISs generate huge amounts of data, which are analyzed using big data technologies. Big data computing for GIS data enables analysis and decision making from massive datasets by using spatiotemporal data mining, algorithms and query processing. This book elucidates the concepts and innovative models around prospective developments with respect to big data techniques and technologies used in geoscience. It will serve as a reference to a broad spectrum of readers.
650			_aGeology--Data processing _9751749
650			_aBig data _9751750
650			_aGeology--technological innovations _9751751
700			_aChapman, Nicolas _eEditor _9751752
942			_2CC _n0 _cTB _hU:(D6,9(B) R3
999			_c1308397 _d1308397