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Big Data Analytics

You're reading from Big Data Analytics Real time analytics using Apache Spark and Hadoop

Product type Paperback

Published in Sep 2016

Publisher Packt

ISBN-13 9781785884696

Length 326 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Big Data

Author (1):

Venkat Ankam

View More author details

Table of Contents (12) Chapters

Preface

1. Big Data Analytics at a 10,000-Foot View

2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER

3. Deep Dive into Apache Spark

4. Big Data Analytics with Spark SQL, DataFrames, and Datasets

5. Real-Time Analytics with Spark Streaming and Structured Streaming

6. Notebooks and Dataflows with Spark and Hadoop

7. Machine Learning with Spark and Hadoop

8. Building Recommendation Systems with Spark and Mahout

9. Graph Analytics with GraphX

10. Interactive Analytics with SparkR

Index

Using SparkR with RStudio

Let's learn how to use RStudio with SparkR in this section. RStudio is an integrated development environment (IDE) interface for R that provides developer productivity. It is open source and available on multiple platforms including Linux, macOS, and Windows with optional commercial support. It has a familiar R shell, a syntax-highlighting editor that supports direct code execution, tools for plotting, history, debugging, and workspace management. It has a desktop and server version for running from a desktop or centrally from a server. Let's use RStudio Server, which provides a web browser to do analytics, using the following steps:

Let's install RStudio Server using the following commands:

wget https://download2.rstudio.org/rstudio-server-rhel-0.99.903-x86_64.rpm
sudo yum -y install --nogpgcheck rstudio-server-rhel-0.99.903-x86_64.rpm

Open the Firefox browser in the VM and open the page using http://localhost:8787/auth-sign-in. Use cloudera/cloudera credentials...

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Authors (1)

Venkat Ankam

Venkat Ankam

Venkat Ankam has over 18 years of IT experience and over 5 years in big data technologies, working with customers to design and develop scalable big data applications. Having worked with multiple clients globally, he has tremendous experience in big data analytics using Hadoop and Spark. He is a Cloudera Certified Hadoop Developer and Administrator and also a Databricks Certified Spark Developer. He is the founder and presenter of a few Hadoop and Spark meetup groups globally and loves to share knowledge with the community. Venkat has delivered hundreds of trainings, presentations, and white papers in the big data sphere. While this is his first attempt at writing a book, many more books are in the pipeline.

See other products by Venkat Ankam

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