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 Unstructured Data with Go
An overview of the goxmeans project which provides an accelerated means for clustering unstructured data. It is open source, runs on commodity hardware, and uses the concurrency constructs of Go to optimize run time.g Data with Go - Bob Hancock
OAuth on the Command Line - Anthony Starks
Want to play with the Google APIs on the command line? Anthony has an OAuth command line tool, written in Go, that will allow you to do just that.