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Parallel R
  • Language: en
  • Pages: 123

Parallel R

It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together. You’ll learn the basics of Snow, Multicore, Parallel, Segue, RHIPE, and Hadoop Streaming, including how to find them, how to use them, when they work well, and when they don’t. With these packages, you can overcome R’s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R’s memory barrier. Snow: works well in a traditional cluster environment Multicore: popular for multiprocessor and multicore computers Parallel: part of the upcoming R 2.14.0 release R+Hadoop: provides low-level access to a popular form of cluster computing RHIPE: uses Hadoop’s power with R’s language and interactive shell Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

Bad Data Handbook
  • Language: en
  • Pages: 265

Bad Data Handbook

What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis

Managing RPM-Based Systems with Kickstart and Yum
  • Language: en
  • Pages: 47

Managing RPM-Based Systems with Kickstart and Yum

Managing multiple Red Hat-based systems can be easy--with the right tools. The yum package manager and the Kickstart installation utility are full of power and potential for automatic installation, customization, and updates. Here's what you need to know to take control of your systems.

Bad Data Handbook
  • Language: en
  • Pages: 265

Bad Data Handbook

"Mapping the world of data problems"--Cover.

Field Guide to Hadoop
  • Language: en
  • Pages: 132

Field Guide to Hadoop

Annotation IT Managers, developers, data analysts, system architects, and similar technical workers are now encountering the largest and most disruptive change in their profession since the ascendancy of the relational database in early 1980s. You hear that NoSQL and Big Data Analytics are about to replace the systems and skills you now own and possess, but there's often no easy way to make that transition. To exacerbate the issue, the transition may not be gradual, but forced on you by a new project in your enterprisenamely, Hadoopthat will immediately require new ways of thinking, new tools, and new techniques. This book helps you understand the components of the Hadoop ecosystem and how they relate to each other. You'll discover how to get started on that project in an efficient manner that lays out the possibilities. The authors suggest a path and resources that will guide you on their journey from the status quo to the Brave New World you face.

Yale Law Journal: Volume 122, Number 3 - December 2012
  • Language: en
  • Pages: 258

Yale Law Journal: Volume 122, Number 3 - December 2012

  • Categories: Law

One of the world's leading law journals is available in quality ebook formats. This issue of The Yale Law Journal (the third of Volume 122, academic year 2012-2013) features new articles and essays on law and legal theory by internationally recognized scholars. Contents include: • John H. Langbein, "The Disappearance of Civil Trial in the United States" • Daniel E. Ho, "Fudging the Nudge: Information Disclosure and Restaurant Grading" • Saul Levmore & Ariel Porat, "Asymmetries and Incentives in Plea Bargaining and Evidence Production" The issue also includes extensive student research on targeted killings of international outlaws, Confrontation Clause jurisprudence as implemented in lower courts, and the implied license doctrine of copyright law as applied to news aggregators. Ebook formatting includes linked footnotes and an active Table of Contents (including linked Tables of Contents for all individual articles and essays), as well as active URLs in notes and extensive tables, and properly presented figures and tables.

Interactive Data Visualization for the Web
  • Language: en
  • Pages: 269

Interactive Data Visualization for the Web

Create and publish your own interactive data visualization projects on the Web, even if you have no experience with either web development or data visualization. It’s easy with this hands-on guide. You’ll start with an overview of data visualization concepts and simple web technologies, and then learn how to use D3, a JavaScript library that lets you express data as visual elements in a web page. Interactive Data Visualization for the Web makes these skills available at an introductory level for designers and visual artists without programming experience, journalists interested in the emerging data journalism processes, and others keenly interested in visualization and publicly available data sources. Get a practical introduction to data visualization, accessible for beginners Focus on web-based tools that help you publish your creations quickly to a wide audience Learn about interactivity so you can engage users in exploring your data

Business Models for the Data Economy
  • Language: en
  • Pages: 33

Business Models for the Data Economy

You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term. In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.

Development Challenges, South-South Solutions: June 2014 Issue
  • Language: en
  • Pages: 20

Development Challenges, South-South Solutions: June 2014 Issue

  • Type: Book
  • -
  • Published: 2014-06-05
  • -
  • Publisher: DSConsulting

Development Challenges, South-South Solutions is the monthly e-newsletter of the United Nations Office for South-South Cooperation in UNDP (www.southerninnovator.org). It has been published every month since 2006. Its sister publication, Southern Innovator magazine, has been published since 2011. ISSN 2227-3905 Stories by David South UN Office for South-South Cooperation Contact the Office to receive a copy of the new global magazine Southern Innovator. Issues 1, 2, 3, 4 and 5 are out now and are about innovators in mobile phones and information technology, youth and entrepreneurship, agribusiness and food security, cities and urbanization and waste and recycling. Why not consider sponsoring or advertising in an issue of Southern Innovator? Or work with us on an insert or supplement of interest to our readers? Follow @SouthSouth1. In this issue: Caribbean Island St. Kitts Goes Green for Tourism Big Data Can Transform the Global South's Growing Cities Indian Business Model Makes Green Energy Affordable South-South Trade Helping Countries During Economic Crisis