For our October meetup we have two great talks from Google lined up that will give us a taste of Big Data Google style!
Google is sponsoring the event providing the venue, drinks and nibbles. Hope you can all join us!
*** NOTE DIFFERENT VENUE ***
1) 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.
Google BigQuery is a Big Data analysis tool born from an internal technology known as Dremel. BigQuery enables developers to analyze terabyte data sets in seconds using a RESTful API and a SQL-like query language. We'll demonstrate how you can incorporate Google BigQuery into your own applications, and how queries are processed underneath the covers. We’ll also show examples using public data sets and demos built by other developers like you.
Ryan Boyd is a Developer Advocate at Google, focused on cloud data services such as Google BigQuery. He’s been in the Developer Relations group for 6 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.
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.
2) Google Compute Engine: Batch processing on demand
We live in an age of inexpensive, powerful computing resources. Taking advantage of them no longer means sacrificing space or dedicating hours to maintenance. You can offload more and more of your workload to the cloud, and this is critical when processing, transforming, or analyzing massive amounts of data.
Google Compute Engine provides a high performance, secure, scalable, economic platform for processing huge amounts of data inside Google's data centers. This presentation will provide an overview of Google Compute Engine, with a focus on code and demonstrations, and how handling Big Data with our infrastructure makes processing, transforming, and analyzing a breeze.
Julia Ferraioli is a Developer Advocate working with Google Compute Engine. She comes from an industrial background as a software engineer, where she worked the backend processing for a collaboration service, and an academic background in machine learning and assistive technology. Her interests lie in harnessing the power of computing to improve the quality of peoples’ lives.