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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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After reading this book and going through all its tutorials you should have enough skills to let you perform scalable and distributed analysis of very large datasets using the R language. The usefulness of the material contained in this book hugely depends on other tools your current Big Data processing stack includes. Although we have presented you with a wide array of applications and frameworks which are common ingredients of Big Data workflows, for example Hadoop, Spark, SQL, and NoSQL databases, we appreciate that your personal needs and business requirements may vary.

In order to address your particular data-related problems and accomplish Big Data tasks, which may include a myriad of data analytics platforms, other programming languages, and various statistical methods or machine learning algorithms, you may need to develop a specific skill set and make sure to constantly grow your expertise in this dynamically evolving field. Throughout this book, we have included...

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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