Big data: techniques and technologies in Geoscience (Record no. 1308397)

MARC details
000 -LEADER
fixed length control field 01842nam a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250402145519.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250402b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9798888360729
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency RTL
Transcribing agency RTL
084 ## - COLON CLASSIFICATION NUMBER
Classification number U:(D6,9(B) R3
Assigning agency RTL
245 ## - TITLE STATEMENT
Title Big data: techniques and technologies in Geoscience
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. Larsen & Keller
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent vii, 242p.
Other physical details Includes list of contributors and index
520 ## - SUMMARY, ETC.
Summary, etc. Big 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geology--Data processing
9 (RLIN) 751749
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data
9 (RLIN) 751750
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Geology--technological innovations
9 (RLIN) 751751
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Chapman, Nicolas
Relator term Editor
9 (RLIN) 751752
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textbook
Classification part U:(D6,9(B) R3
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Ratan Tata Library Ratan Tata Library 2025-04-02   U:(D6,9(B) R3 RT1528361 2025-04-02 2025-04-02 Textbook