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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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Boosting R performance with the data.table package and other tools

The following two sections present several methods of enhancing the speed of data processing in R. The larger part is devoted to the excellent data.table package, which allows convenient and fast data transformations. At the very end of this section we also direct you to other sources, that elaborate, in more detail, on the particulars of faster and better optimized R code.

Fast data import and manipulation with the data.table package

In a chapter devoted to optimized and faster data processing in the R environment, we simply must spare a few pages for one, extremely efficient and flexible package called data.table. The package, developed by Dowle, Srinivasan, Short, and Lianoglou with further contributions from Saporta and Antonyan, took the primitive R data.frame concept one (huge) step forward and has made the lives of many R users so much easier since its release to the community.

The data.table library offers (very) fast...

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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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