Google & Earth Geosaptial cloud computing at your fingertips

Dylan Lorimer, Product Manager, Maps & Earth [email protected] Huge amounts of data in the world Much of it with location context

340 Million tweets per day

15+ Billion RFID tags in the world

1+ Billion mobile workers

Google confidential | Do not distribute The Challenge Organization and presentation

How can we organize data better, and present it in more meaningful ways?

Google confidential | Do not distribute Big Data is part of the Google DNA

Global 20B Infrastructure 72+ pages per day Hours of video uploaded per minute

100B 425M search queries users a month

Google confidential | Do not distribute Mapping is no exception

2008 2012

Growth in coverage & content Street View 3,000+ cities, 40 countries +20M sq km imagery published from the GeoEye-1 satellite "Policy makers need to support making data available and private companies like ours need to keep investing in this." Companies and countries with modern map skills and data have economic and competitive advantages, he argued, citing the Oxera study and a US- focused study by Boston Consulting Group. -- AFP

http://goo.gl/idlP3 Google confidential | Do not distribute Many businesses have their own mapping data

Google's Geo infrastructure is best in class

We desired to make it available to industry

Google confidential | Do not distribute Acquire Data , Share with Build Maps Anyone

Google confidential | Do not distribute Google confidential | Do not distribute Zero configuration

Global replication (http://goo.gl/2ifIA) Our approach to PAAS for Geospatial Automatic scaling

Purchase serving & storage as needed

No need to decide on RAM, CPU, region etc. All your imagery blended, tiled, feathered, masked for display on Google Maps and Earth Rich tools to create on-the-fly styled maps and layers

Google confidential | Do not distribute Full Google Maps and Earth environment completely offline Imagery analysis (experimental)

Google confidential | Do not distribute Planning for scale How many servers / CPUs for 1M+ QPS? Scale on demand Google Maps Engine Earth at Night 1700 QPS Google Maps Engine Hurricane Sandy 1200 QPS

Facebook: status updates 700 / sec

Twitter: Tweets 600 / sec Limitless capacity on demand

Google capacity

Google Maps Engine currently serving 2 petabytes 100+ petabytes A gorgeous UI to drive a powerful platform Google iOS Earth Android

Google Maps Coordinate

Access Controls

OGC Google Services Maps

So how can data providers use GME ? Technology for your Business Google Business Partnerships

● Rich data use analytics ● Established partnership model

● Push button publishing ● Massive paid customer base

● Simple access controls ● Global sales team ● ● Limitless scale Multi-product opportunity Demos ● Black (the Earth @ Night) ● Global roadless areas ● US Topos and Canadian Topos. ● US geologic map ● Eyes on the Forest ● Global seismic hazard ● Hurricane Sandy crisis map with GME layers ● Maps Engine API

Google confidential | Do not distribute Thank You !

Google confidential | Do not distribute