Google Cloud services for Big Data
SPEAKER Patrick Chanezon, Developer Relations Manager - Cloud and Apps, Google
Patrick Chanezon joined Google in 2005, he manages the Cloud and Apps Developer Relations team, in San Francisco. Previously he has been a Developer Advocate, building and growing developer ecosystems for HTML5, OpenSocial, Google Checkout and the AdWords API. Previously he spent 5 years at Sun Microsystems as a software architect working on Sun Portal Server, blogs and syndication feeds, and received the CEO award for helping launch blogs.sun.com. Previously he spent 5 years at AOL and Netscape where he managed the MyNetscape Portal, and 2 years at Accenture as a Lotus Notes guru. He co-created the ROME open source project,  and the OSSGTP group in France.
Patrick Chanezon
Rajdeep Dua, Developer Advocate and India Lead, Developer Relations Google
Rajdeep is a Developer Advocate in Google India, focussed on Android and Google Cloud platform evangelism. He has around 13 years of experience in product and IT consulting space. Before joining Google, he was leading development efforts for a middle ware product in Microsoft India. He has also been associated with  open source projects like JBoss and Joram. Rajdeep holds an MBA from IIM Lucknow, India and a bachelors in engineering from Thapar Institute Patiala, India.
Rajdeep Dua
Talk Outline: Google is a Data business: over the past few years, many of the tools Google created to store, query, analyze, visualize, transform, clean-up and augment its data, have been exposed to developers as services.

This talk will give you an overview of Google Cloud services for Data Crunchers:

- Google App Engine,
- SQL support for Google App Engine
- Google Storage for Developers
- BigQuery, fast interactive queries on Terabytes of data
- Machine Learning API: Machine Learning made easy
- Google Fusion Tables, collaborate on data sets, query and visualize them
- Visualization API: many cool visualization components
- Freebase, An entity graph of people, places and things, built by a community that loves open data.
- Google Refine, a power tool to work with messy data