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Big Data

By: Trent D. Buskirk | Edited by: Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A. Williams Published: 2020 | Length:   3 | DOI: |
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Simply put, big data might be considered any source of information that is too large to process using one’s current computing environment. Big data, while certainly large, can also come from a variety of sources and are available at increasing speeds. The rise of the Internet of things (IoT), smart devices, as well as social media sites and online commerce, are increasing the massive amounts and types of information that are collected, measured, and stored. In his book titled Machine Learning, Computer Engineering Professor Ethem Alpaydin (2016) noted “we are already exposed to more data than what our sensors can cope with or our brains can process (p. 10).” Min Chen and colleagues (2014) noted that roughly 72 hr of YouTube videos and over 200,000 ...

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