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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
book

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

by Thomas Mailund
March 2017
Beginner
352 pages
10h 24m
English
Apress
Content preview from Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

© Thomas Mailund 2017

Thomas Mailund, Beginning Data Science in R, 10.1007/978-1-4842-2671-1_5

5. Working with Large Datasets

Thomas Mailund

(1)Aarhus, Denmark

The concept of Big Data refers to very large datasets , sets of sizes where you need data warehouses to store the data, where you typically need sophisticated algorithms to handle the data, and distributed computations to get anywhere with it. At the very least, we talk many gigabytes of data but also are often dealing with terabytes or exabytes.

Dealing with Big Data is also part of data science, but it is beyond the scope of this book. This chapter is on large datasets and how to deal with data that slows down your analysis, but it is not about datasets so large that you cannot analyze them ...

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Publisher Resources

ISBN: 9781484226711Purchase book