O'Reilly logo

Big Data Analytics with R and Hadoop by Vignesh Prajapati

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Understanding data analytics problems

In this section, we have included three practical data analytics problems with various stages of data-driven activity with R and Hadoop technologies. These data analytics problem definitions are designed such that readers can understand how Big Data analytics can be done with the analytical power of functions, packages of R, and the computational powers of Hadoop.

The data analytics problem definitions are as follows:

  • Exploring the categorization of web pages
  • Computing the frequency of changes in the stock market
  • Predicting the sale price of a blue book for bulldozers (case study)

Exploring web pages categorization

This data analytics problem is designed to identify the category of a web page of a website, which ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required