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This notes the importance of correcting raw/unstructured data to create clean/structured data that can be used for research. Data is considered big data when traditional tools and techniques, including capture, storage, visualization analysis, and transfer, cannot adequately handle it. This article provides a roundup of definitions with industry-specific examples of how big data is utilized.

Education

A McKinsey Global Institute study found a shortage of 1.5 million highly trained data professionals and managers and a number of universities including University of Tennessee and UC Berkeley, have created masters programs to meet this demand. Private bootcamps have also developed programs to meet that demand, including free programs like The Data Incubator or paid programs like General Assembly.