Big Data Foundations Techniques and Concepts
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Big Data Foundations: Techniques and Concepts
MP4 | Video: 720p | Duration: 2:12:48 | English | Subtitles: VTT | 436.3 MB
Big data is big news. But what is big data, and how do we use it? Simply put, big data is data that, by virtue of its velocity, volume, or variety (the three Vs), cannot be easily stored or analyzed with traditional methods. Spreadsheets and relational databases just don't cut it with big data. In this course, Barton Poulson tells you the methods that do work, introducing all the techniques and concepts involved in capturing, storing, manipulating, and analyzing big data, including data mining and predictive analytics. He explains big data's relationship to data science, statistics, and programing; its uses in marketing, scientific research, and tools like Amazon's recommendation engine; and the ethical issues that lie behind its use.
Lynda.com is a PMI Registered Education Provider. This course qualifies for professional development units (PDUs). To view the activity and PDU details for this course, click here.
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Topics include:
What makes big data "big"Understanding how big data impacts consumers, businesses, and researchExploring the intersection of data science and big dataFacing big data's ethical challengesUnderstanding the sources and structures of big dataStoring big dataPrepping big data for analysis
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