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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
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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).
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Relational Database Management Systems (RDBMSs)


The abundance of  RDBMSs currently available means that it's nearly impossible to describe all or at least a large majority of them in one single chapter. If you haven't worked with any such databases in your analytical or research career, now is the best time to explore how they can benefit your Big Data processing and management activities.

A short overview of used RDBMSs

In order to give you a taste of the variety of databases available to R users, we decided to present three of them, which can be launched and connected from R in three different scenarios:

  • Locally on a personal computer

  • Locally on a virtual machine

  • Remotely with a database on a server and RStudio installed on a personal local machine

Our selection criteria also included the requirements that all databases are open-source or at least free to use, are well-maintained with an active community of users, and can operate on multiple platforms (at least on Mac OS X, Windows, and Linux...

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Big Data Analytics with R
Published in: Jul 2016Publisher: PacktISBN-13: 9781786466457

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