A number of the Google Cloud Platform developer relations team members are converging in Sydney t, and while they are here, they thought it would be great to have a "Cloud" GDG. They'll talk about the latest developments with App Engine, Compute Engine, Cloud Storage, and BigQuery; and how these technologies can work together for you so that you can focus on building the important stuff quickly.
There will be time for discussion and feedback.
Food and drink will be provided.
Speaker Details :
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 (http://profiles.google.com/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 (http://profiles.google.com/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.
GCE & GCS: 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 batch computing workload to the cloud, and the newly announced Google Compute Engine offers scalable workload processing.
This talk will describe how you can leverage Google’s computing infrastructure, which daily manages vast quantities of distributed data, at global scale, with sub-second response time, under extremely heavy load. Google Compute Engine is making this powerful infrastructure available to everyone. We’ll talk about how you can make the intersection between Google Cloud Storage and Google Compute Engine work for you and your business. We will show some live demonstrations that illustrate how using these powerful technologies can simplify and expedite your batch processing jobs.
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.
Google App Engine: Build Apps, Not Infrastructure
Google App Engine is a cloud development platform that makes it easy to write robust web applications, simple to scale them to a global audience, and straightforward to manage them over time.
This talk will give an overview of App Engine, with a focus on some of its newer features, such as Full-Text Search, traffic splitting, Page Speed, and backend instances. We'll include a short demonstration that shows how easy it is to get an App Engine app deployed and running.
Amy Unruh is a Developer Programs Engineer at Google, working with App Engine. She has an academic background, and has also worked at several startups, worked in industrial R&D, done technical training and course development, and has published a book with Packt Publishing on "Google App Engine Java and GWT Application Development".