REAL TIME BOOKS – serie

If you want to use CouchDB to support real-world applications, you'll need to create MapReduce views that let you query this document-oriented database for meaningful data. With this short and concise ebook, you'll learn how to create a variety of MapReduce views to help you query and aggregate data in CouchDB's large, distributed datasets. You'll get step-by-step instructions and lots of sample code to create and explore several MapReduce views through the course of the book, using an example database you construct. To work with these different views, you'll learn how to use the Futon web administration console and the cURL command line tool that come with CouchDB.*Learn how the Map and Reduce steps work independently and together to index your data * Use the example database to create several temporary views based on different criteria * Discover the uses of Map and Reduce JavaScript functions * Convert your temporary views to permanent views within a design document * Learn several options for querying the data within your views * Limit the number of results returned, skip some results, or reverse the order of the output * Group your results by exact keys or by parts of keys Bradley Holt, co-founder of the creative services firm Found Line, is a web developer and entrepreneur ten years of PHP and MySQL experience. He began using CouchDB before the release of version 1.0. Bradley is an active member of the PHP community, and can be reached at bradley-holt.com.

If you're a developer looking to supplement your own data tools and services, this concise ebook covers the most useful sources of public data available today. You'll find useful information on APIs that offer broad coverage, tie their data to the outside world, and are either accessible online or feature downloadable bulk data. You'll also find code and helpful links. This guide organizes APIs by the subjects they cover-such as websites, people, or places-so you can quickly locate the best resources for augmenting the data you handle in your own service. Categories include: * Website tools such as WHOIS, bit.ly, and Compete * Services that use email addresses a search term, including Github * APIs for finding information from just a name, including WhitePages * Services that help you locate people with accounts, such as Klout * Search APIs, including BOSS and Wikipedia * Geographical data sources, including SimpleGeo and US Census * Company information APIs, such as CrunchBase and ZoomInfo * APIs that list IP address, such as MaxMind * Services that list books, films, music, and products

Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: * Use OAuth to access Twitter data * Create and analyze graphs of retweet relationships * Use the streaming API to harvest tweets in realtime * Harvest and analyze friends and followers * Discover friendship cliques * Summarize webpages from short URLs This book is a perfect companion to O'Reilly's Mining the Social Web.

Create a MongoDB cluster that will to grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you'll understand how to make your application work with a distributed database system. Scaling MongoDB will help you: * Set up a MongoDB cluster through sharding * Work with a cluster to query and update data * Operate, monitor, and backup your cluster * Plan your application to deal with outages By following the advice in this book, you'll be well on your way to building and running an efficient, predictable distributed system using MongoDB.

R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.

A practical guide to web developers who need to scale their CouchDB database instances. The basic concepts behind CouchDB's scalability (i.e. its distributed shared nothing architecture) will be covered as well as: * Replicating using both Futon and CouchDB's RESTful API * Continuous replication * Conflict resolution * Load balancing * Clustering with CouchDB Lounge

Data analysis is more than means and standard deviations. This ebook is a case study of how you can push R into new territory to analyze online real-world data. The authors scrape public foreclosure records for Philadelphia, geocode them, plot them by county, and analyze the results, using R facilities to interact with web servers, parse HTML and XML, and more.

A detailed introduction to presenting audio and video in HTML5, from markup through scripting. It will explain not just placing content in pages but interaction through Javascript APIs, to build media players that could be used cross-browser.

This will give an overview of how Drupal outputs content, and how to design around that visually, as well as an overview of turning the design into a theme. Less of a comprehensive, "these are all the hooks you'll ever have to deal with" volume, and more of a "this is how to understand how Drupal works so you know *what* you're applying the visuals to" thing.

What exactly is virtualization? As this concise book explains, virtualization is a smorgasbord of technologies that offer organizations many advantages, whether you're managing extremely large stores of rapidly changing data, scaling out an application, or harnessing huge amounts of computational power. With this guide, you get an overview of the five main types of virtualization technology, along with information on security, management, and modern use cases. Topics include: Access virtualization-Allows access to any application from any device Application virtualization-Enables applications to run on many different operating systems and hardware platforms Processing virtualization-Makes one system seem like many, or many seem like one Network virtualization-Presents an artificial view of the network that differs from the physical reality Storage virtualization-Allows many systems to share the same storage devices, enables concealing the location of storage systems, and more