Abstract
In this chapter, we discuss a particularly interesting application for distributed big data analytics: using a domain model to look for likely geographic locations for valuable minerals, such as petroleum, bauxite (aluminum ore), or natural gas. We touch on a number of convenient technology packages to ingest, analyze, and visualize the resulting data, especially those well-suited for processing geolocations and other geography-related data types.
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© 2017 Kerry Koitzsch
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Koitzsch, K. (2017). Searching for Oil: Geographical Data Analysis with Apache Mahout. In: Pro Hadoop Data Analytics . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1910-2_13
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DOI: https://doi.org/10.1007/978-1-4842-1910-2_13
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-1909-6
Online ISBN: 978-1-4842-1910-2
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