TL;DR
This paper explores the historical origins of the term 'Big Data', tracing its development from industry and academic discussions since the 1990s, and discusses how statistical machine learning tools aid in managing its challenges.
Contribution
It provides a historical analysis of the term 'Big Data' and highlights the role of statistical machine learning in addressing Big Data challenges.
Findings
Origins traced to Silicon Graphics in the 1990s
Big Data phenomenon has continued to grow
Machine learning tools help manage Big Data complexity
Abstract
Against the background of explosive growth in data volume, velocity, and variety, I investigate the origins of the term "Big Data". Its origins are a bit murky and hence intriguing, involving both academics and industry, statistics and computer science, ultimately winding back to lunch-table conversations at Silicon Graphics Inc. (SGI) in the mid 1990s. The Big Data phenomenon continues unabated, and the ongoing development of statistical machine learning tools continues to help us confront it.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Complex Systems and Time Series Analysis · Big Data Technologies and Applications