Data Source Handbook

Regular price €29.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Pete Warden
Age Group_Uncategorized
Age Group_Uncategorized
Author_Pete Warden
automatic-update
Category1=Non-Fiction
Category=UGK
Category=UNF
Category=UNN
Category=UY
Category=UYQM
COP=United States
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Inc
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch
USA

Product details

  • ISBN 9781449303143
  • Weight: 90g
  • Dimensions: 173 x 229mm
  • Publication Date: 05 Apr 2011
  • Publisher: O'Reilly Media
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Secure checkout Fast Shipping Easy returns
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
A former Apple engineer, Pete Warden is the founder of OpenHeatMap, and writes on large-scale data processing and visualization.

More from this author