Oct. 23, 2012 — Oct. 23, 2012
6 p.m. (EDT)
Crunching Big Data with Google BigQuery Applications which grow to web-scale generate massive amounts of data. Many developers end up throwing this data away because they can’t extract value from it without the necessary expertise or infrastructure. Google knows Big Data -- our infrastructure processes 60 hours of YouTube video uploads every minute and many of our products have hundreds of millions of users. Google has developed custom technologies to analyze this data and make intelligent product decisions. We’ve started to open up some of these technologies as APIs which allow developers to concentrate on their business problems, while Google handles the underlying infrastructure. Ryan Boyd Ryan is a Developer Advocate at Google, focused on cloud data services such as Google BigQuery. He’s been in the Developer Relations group for 5 years and previously helped build out the Google Apps ISV ecosystem. Ryan recently published his first book on “Getting Started with OAuth 2.0” with O’Reilly. Clustering Big Data with Go - Bob Hancock OAuth 2.0 on the Command Line - Anthony Starks
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