Walkowiak Big Data Analytics with R

Leverage R Programming to uncover hidden patterns in your Big Data
1. Auflage 2016
ISBN: 978-1-78646-372-2
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 506 Seiten

No detailed description available for "Big Data Analytics with R".

Autoren/Hrsg.

Walkowiak, Simon

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

Table of Contents - The era of “Big Data”
- Introduction to R programming language and statistical environment
- Unleashing the power of R from within
- Pushing R further
- Hadoop and MapReduce framework for R
- R with relational database management system
- R with non-relational and NoSQL databases
- Faster than Hadoop: Spark and R
- Machine Learning for Big Data in R
- The future of R: Big, fast and smart data

Über Autor(innen)

Walkowiak Simon:

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).