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Big Data Analytics with R

You're reading from  Big Data Analytics with R

Product type Book
Published in Jul 2016
Publisher Packt
ISBN-13 9781786466457
Pages 506 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Simon Walkowiak Simon Walkowiak
Profile icon Simon Walkowiak
LinkedIn
Simon Walkowiak is a cognitive neuroscientist and a managing director of Mind Project Ltd a Big Data and Predictive Analytics consultancy based in London, United Kingdom. As a former data curator at the UK Data Service (UKDS, University of Essex) European largest socio-economic data repository, Simon has an extensive experience in processing and managing large-scale datasets such as censuses, sensor and smart meter data, telecommunication data and well-known governmental and social surveys such as the British Social Attitudes survey, Labour Force surveys, Understanding Society, National Travel survey, and many other socio-economic datasets collected and deposited by Eurostat, World Bank, Office for National Statistics, Department of Transport, NatCen and International Energy Agency, to mention just a few. Simon has delivered numerous data science and R training courses at public institutions and international companies. He has also taught a course in Big Data Methods in R at major UK universities and at the prestigious Big Data and Analytics Summer School organized by the Institute of Analytics and Data Science (IADS).
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Table of Contents (16) Chapters

Big Data Analytics with R
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1. The Era of Big Data 2. Introduction to R Programming Language and Statistical Environment 3. Unleashing the Power of R from Within 4. Hadoop and MapReduce Framework for R 5. R with Relational Database Management Systems (RDBMSs) 6. R with Non-Relational (NoSQL) Databases 7. Faster than Hadoop - Spark with R 8. Machine Learning Methods for Big Data in R 9. The Future of R - Big, Fast, and Smart Data

HBase with R

The Apache HBase database allows users to store and process non-relational data on top of HDFS. Inspired by Google's BigTable, HBase is an open source, distributed, consistent, and scalable database that facilitates real-time read and write access to massive amounts of data. It is in fact a columnar or key-column-value data store that lacks any default schema and can be defined by users at any time.

The following tutorial will present a sequence of essential activities that will allow you to import our previously used Land Registry Price Paid Data into the HBase store on the Microsoft Azure HDInsight cluster and then retrieve specific slices of data using RStudio Server.

Azure HDInsight with HBase and RStudio Server

The process of launching the fully operational Microsoft Azure HDInsight cluster with HBase database is very similar to the one described in Chapter 4, Hadoop and MapReduce Framework for R, where we guided you through the creation of a multi-node HDInsight Hadoop cluster...

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Authors (1)

Profile icon Simon Walkowiak
LinkedIn
Simon Walkowiak is a cognitive neuroscientist and a managing director of Mind Project Ltd a Big Data and Predictive Analytics consultancy based in London, United Kingdom. As a former data curator at the UK Data Service (UKDS, University of Essex) European largest socio-economic data repository, Simon has an extensive experience in processing and managing large-scale datasets such as censuses, sensor and smart meter data, telecommunication data and well-known governmental and social surveys such as the British Social Attitudes survey, Labour Force surveys, Understanding Society, National Travel survey, and many other socio-economic datasets collected and deposited by Eurostat, World Bank, Office for National Statistics, Department of Transport, NatCen and International Energy Agency, to mention just a few. Simon has delivered numerous data science and R training courses at public institutions and international companies. He has also taught a course in Big Data Methods in R at major UK universities and at the prestigious Big Data and Analytics Summer School organized by the Institute of Analytics and Data Science (IADS).
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See other products by Simon Walkowiak

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