AngelHack unites 100+ developers to hack on big data
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By Ryan Boyd and Michael Manoochehri, Cloud Developer Relations
Last weekend, we had the pleasure of joining 100+ developers at the AngelHack Big Data
hackathon in San Francisco. The event, hosted at the
HUB co-working space, was a fantastic
gathering of people interested in hacking away on big data.
We had a great time talking with developers about Google BigQuery and the Google Cloud
Platform, getting some new feature requests, and learning new things from the folks at
Firebase,
Couchbase,
p(k) and more. We were happy to see a
couple dozen developers having the chance to try out BigQuery over the weekend. We also did
our first in-person demo of a query running a regular expression match across 13 billion rows
(1TB) of data in just 23 seconds, which was very well received!
We went to the event bearing some App Engine schwag and a $250 gift certificate to the Google
Play Store to be awarded to the best project that incorporated
Google BigQuery or
App Engine for crunching big
data. We also had a number of datasets to share with the group ranging from stock data
provided by
NASDAQ
Data-On-Demand (
powered by
Xignite) and US birth statistics data to Wikipedia revision histories + pageviews
and n-grams from Google Books.
The prize for the best use of BigQuery or App Engine went to
Deepti Yadlapalli and
Sushma Yadlapalli. They
created a mashup with the NASDAQ stock data, BigQuery and
Prior Knowledge's Veritable API to look at
correlation between the ask/bid spreads of various stock tickers. Congrats!
Thanks to all the fantastic developers who joined us for the hackathon, and also to the
organizers of AngelHack for producing a great event.
Our team is traveling to London for
Strata next week. We’re also going to be
attending a number of other events, including the
London
GDG,
Big Data
London meetup,
Big
Data Analytics Sydney meetup,
Sydney GDG and the
Google
for Entrepreneurs Day in Sydney. If you’re at any of those events, stop by and let
us know what you’re doing with big data!
Ryan Boyd is a Developer Advocate, focused on big data. He's been at Google for 6
years and previously helped build out the Google Apps ISV ecosystem. He published his first
book, "Getting Started with OAuth 2.0", with O'Reilly.
Michael Manoochehri is a Developer Programs Engineer working with Google's Cloud
developer products. With many years of experience working for research and non-profit
organizations, he's interested in making large scale data analysis more accessible and
affordable.
Posted by Scott Knaster,
Editor
