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You're reading from  Big Data Analytics with R

Product typeBook
Published inJul 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781786466457
Edition1st Edition
Languages
R
Tools
HadoopApache Spark
Concepts
Big Data
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Author (1)
Simon Walkowiak
Simon Walkowiak
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Simon Walkowiak

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).
Read more about Simon Walkowiak

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Summary

This chapter was entirely dedicated to non-relational databases. At the very beginning, we introduced you to the general concept of highly-scalable, NoSQL databases with flexible schemas. We have discussed their major features and presented practical applications in which they excel when compared with standard relational SQL databases.

We then began a series of tutorials that were aimed at explaining how to read, manage, process, and query data stored in a very popular, open source NoSQL database called MongoDB. We reviewed three leading R packages that allow users to implement a variety of techniques and methods in MongoDB directly from the R environment.

Finally, we introduced you to an open source, non-relational and distributed HBase database that operates on top of the Hadoop Distributed File System. We guided you through some time-consuming installation procedures to enable you to connect to HBase using R. We then showed you several examples of how to apply functions in the rhbase...

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Big Data Analytics with R
Published in: Jul 2016Publisher: PacktISBN-13: 9781786466457
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Simon Walkowiak

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).
Read more about Simon Walkowiak

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