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Big Data University

Big Data University

http://bigdatauniversity.com/

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Raspberry PI Hadoop Cluster - Jonas Widriksson If you like Raspberry Pi’s and like to get into Distributed Computing and Big Data processing what could be a better than creating your own Raspberry Pi Hadoop Cluster? The tutorial does not assume that you have any previous knowledge of Hadoop. Hadoop is a framework for storage and processing of large amount of data. Week 4 Contents References Dalgaard 2008 Wickham, H. 2009 ggplot2: Elegant graphics for data analysis Paradis, E. 2005 R for Beginners [PDF] R Graph Gallery Tufte, E. 2001 The Visual Display of Quantitative Information To install today install.packages("RColorBrewer") Base Graphics

Center for Digital Humanities and Computational Social Science {*style:<ul>*}{*style:<li>*}{*style:<h3>*}{*style:<a href=' Co-Director Elizabeth Dillon featured in the New York Times{*style:</a>*}{*style:</h3>*} November 24, 2016 {*style:<br>*}Professor Elizabeth Maddock Dillon recently published an op-ed, “Long Before ‘Hamilton’ Brouhaha, Theater Was Anything but Polite” in the New York Times. You can read her ... {*style:<a href=' more...{*style:</a>*}{*style:</li>*}{*style:<li>*}{*style:<h3>*}{*style:<a href=' Moya Bailey Interviewed at HASTAC{*style:</a>*}{*style:</h3>*} November 4, 2016 {*style:<br>*} Moya Bailey, NULab Core Faculty member and Assistant Professor in the Department of Cultures, Societies and Global Studies and the Women’s, Gender and Sexuality Studies Program, ... {*style:<a href=' more...

Information Design and Visualization Overview “Understanding precedes action.” – Richard Saul Wurman, Distinguished Professor of the Practice in Information Design Get started with Hadoop and Spark in 10 minutes With the big 3 Hadoop vendors – Cloudera, Hortonworks and MapR - each providing their own Hadoop sandbox virtual machines (VMs), trying out Hadoop today has become extremely easy. For a developer, it is extremely useful to download and get started with one of these VMs and try out Hadoop to practice data science right away. However, with the core Apache Hadoop, these vendors package their own software into their distributions, mostly for the orchestration and management, which can be a pain due to the multiple scattered open-source projects within the Hadoop ecosystem. e.g. Hortonworks includes the open-source Ambari while Cloudera includes its own Cloudera Manager for orchestrating Hadoop installations and managing multi-node clusters. Moreover, most of these distributions require today a 64-bit machine and sometimes a high-amount of memory (for a laptop). e.g. running Cloudera Manager with a full-blown Cloudera Hadoop Distribution (CDH) 5.x requires at least 10GB RAM.

A Hadoop data lab project on Raspberry Pi - Par... Carsten Mönning and Waldemar Schiller Hadoop has developed into a key enabling technology for all kinds of Big Data analytics scenarios. Although Big Data applications have started to move beyond the classic batch-oriented Hadoop architecture towards near real-time architectures such as Spark, Storm, etc., [1] a thorough understanding of the Hadoop & MapReduce & HDFS principles and services such as Hive, HBase, etc. operating on top of the Hadoop core still remains one of the best starting points for getting into the world of Big Data. Renting a Hadoop cloud service or even getting hold of an on-premise Big Data appliance will get you Big Data processing power but no real understanding of what is going on behind the scene. To inspire your own little Hadoop data lab project, this four part blog will provide a step-by-step guide for the installation of open source Apache Hadoop from scratch on Raspberry Pi 2 Model B over the course of the next three to four weeks. Preliminaries

Human Activity Recognition Using Smartphones Data Set Source: Jorge L. Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto. Smartlab - Non Linear Complex Systems Laboratory DITEN - Università degli Studi di Genova, Genoa I-16145, Italy. activityrecognition '@' smartlab.wswww.smartlab.ws InfoVis Group @ UBC Computer Science 06/2016 [talks]: Information+ Keynote, Lightning Talk Tamara Munzner will be giving a keynote talk entitled Visualization Analysis and Design at Information+, June 16 - 18, 2016 in Vancouver BC, Canada. Big Data for Smart Cities Cities run on a stream of data. In the smart city, the innovative use of data helps provide better and more inventive services to improve people’s lives and make the entire city run more smoothly. But the data our cities collect nowadays is more massive and varied, and is accessed at higher speeds than ever before. This is Big Data. New technologies are constantly being developed to better manage Big Data. This computer science course, from the IEEE Smart Cities initiative and the University of Trento, helps students understand and use these new technologies to help improve a city.

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