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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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Hadoop architecture

Apache Hadoop is an open source, integrated framework for Big Data processing and management, which can be relatively easy to deploy on commodity hardware. Hadoop can also be defined as an ecosystem of tools and methods that allow distributed storage and analytics of massive amounts of structured and unstructured data. In this section, we will present an array of tools, frameworks, and applications that come as integral parts of the Hadoop ecosystem and are responsible for a variety of data management and processing purposes.

Hadoop Distributed File System

As explained in Chapter 1, The Era of Big Data,  Hadoop Distributed File System (HDFS) derives from the original Google File System presented in 2003 in a paper titled The Google file system authored by Ghemawat, Gobioff, and Leung. The architecture and design of current HDFS (based on the Apache Hadoop 2.7.2 release) are explained thoroughly in the HDFS Architecture Guide available at the Apache website at http://hadoop...

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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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