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Emerging Perspectives in Big Data Warehousing

Edited by David Taniar, Edited by Wenny Rahayu





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| book description |

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

| product details |



Normally shipped | Enquiries only
Publisher | IGI Global
Published date | 28 Jun 2019
Language |
Format | Mixed media product
Pages | 348
Dimensions | 279 x 216 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-5225-9540-3
Readership Age |
BISAC | computers / database management / data warehousing


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