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003 Tools & Setup Linux – DigiLinc Pro

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003 Tools & Setup Linux – DigiLinc Pro

Big data refers to data sets that are too large or complex for traditional data-processing application software to adequately deal with. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data)and value. In this video easily learn all Big Data Concepts

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00:00 [Music]

00:09 hey guys welcome back in this lesson

00:12 we'll look at all the necessary tools

00:14 and setup that you will need to proceed

00:16 with this course if you're using Mac or

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