Description
Big Data and Analytics have emerged as important areas of investigation for MIS academics and practitioners. Increasing interest has also been witnessed in industry and federal agencies, as evidenced by the recent White House initiative on Big Data. Recently, proliferation of sensors and location sensing devices has created an abundance of geographically referenced data. This workshop will focus on Big Data location analytics. It will renew attention to Big Data and Analytics theories, concepts, and technologies, and how Geographical Information Systems enable visualization and analysis of the location component of Big Data to create additional value to make better decisions. Spatial Big Data tools (SpatialHadoop) that leverage the power and sophistication of traditional Big Data technologies (Apache Hadoop) will be discussed. Big Data opportunities in different industries that are known to leverage geotechnology will be presented. This is part I of a two-part workshop on Big Data and Location Analytics.
Recommended Citation
Farkas, Daniel; Hilton, Brian; Pick, James; Ramakrishna, Hindupur; Sarkar, Avijit; and Shin, Namchul, "Big Data and Location Analytics I: Concepts and Recent Developments" (2015). AMCIS 2015 Proceedings. 3.
https://aisel.aisnet.org/amcis2015/Workshops/GeneralPresentations/3
Big Data and Location Analytics I: Concepts and Recent Developments
Big Data and Analytics have emerged as important areas of investigation for MIS academics and practitioners. Increasing interest has also been witnessed in industry and federal agencies, as evidenced by the recent White House initiative on Big Data. Recently, proliferation of sensors and location sensing devices has created an abundance of geographically referenced data. This workshop will focus on Big Data location analytics. It will renew attention to Big Data and Analytics theories, concepts, and technologies, and how Geographical Information Systems enable visualization and analysis of the location component of Big Data to create additional value to make better decisions. Spatial Big Data tools (SpatialHadoop) that leverage the power and sophistication of traditional Big Data technologies (Apache Hadoop) will be discussed. Big Data opportunities in different industries that are known to leverage geotechnology will be presented. This is part I of a two-part workshop on Big Data and Location Analytics.