Emerging Perspectives in Big Data Warehousing

Explores innovative activities focusing on the integration between data warehousing and data mining, with an emphasis on the applicability to real-world problems. Featuring a range of topics such as index structures, ontology, and user behaviour, this book is designed for researchers, professionals, computer scientists, academics, and managers. 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.