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Building Big Data Applications
Thursday, October 4, 2012 from 6:00 PM to 9:00 PM (BST)
London, United Kingdom
Building Big Data Applications with Google's Cloud Platform
Over the years, Google has developed a number of technologies to process the massive amounts of data generated by its web scale applications. Google has opened up many of these technologies to developers, allowing them to build their own applications using our infrastucture.
In this talk, we will demonstrate how you can use Google's Cloud Platform to analyse terabytes of data in seconds using Google's BigQuery, collect data at web scale using the Datastore (Google App Engine's NoSQL data backend), and store large static files in Google Cloud Storage. We will also take a look at how to put all of these pieces together to create an end-to-end Big Data application using the App Engine Pipeline API and MapReduce library for App Engine.
About the Speaker
Michael Manoochehri is a Google engineer supporting developers who work with Google's Cloud and Data platforms. With many years of experience working for research and non-profit organizations, he is interested in making data analysis on large scale computing infrastructure more accessible and affordable. Michael has written for tech blog ProgrammableWeb.com, has spent time in rural Uganda researching mobile phone use, and has a Masters degree in Information Management and Systems from UC Berkeley's School of Information.
18:15 - Registration, pizza & drinks
18:45 - Talk from Michael Manoochehri
19:45 - GDG News
20:00 - Wrap up & drinks