Google IO has came and gone. It was a drink-from-the-fountain experience for this IO newbie. But apparently, day one’s 3.5h keynote was similarly challenging for the seasoned. (Both Engadget and TheRegister have great live-blog of the keynote if you want to relive the marathon at your own pace. Engadget’s even included pictures!)
BigQuery fits into IO’s “Google Cloud Platform” track.
As usual, everything from the 2013 IO is available via the Google Developer channel.
For your convenience, here is my #IO13 playlist for the useful BigQuery-related sessions I found. I may have missed a session given the amount of material presented so do let me know if you saw something worth compiling here.
- Cloud Platform Track Kickoff – Good way to understand how BigQuery fits into Google’s Cloud portfolio.
- Importing Large Data Sets into Google Cloud Storage – A dive into gsutil.
- Keys to the Kingdom: Design Patterns for Using OAuth in the Cloud – How to use OAuth for BigQuery and other Google services.
- Big Data Mashups: Enabling Next Generation Analytics Using BigQuery – Shutterfly shares of their experience in using BigQuery to drive their analytics.
- Google Analytics and AdSense Data Analysis in BigQuery – A preview of what’s to come for AdSense and Analytics Premium customers.
- Here Be BigQuery: Building Social Gaming Infrastructure on the Google Cloud Platform – A second case study by Gamesys on their success in utilizing BigQuery for social game analytics.
- All the Ships in the World: Visualizing Data with Google Cloud and Maps –
- Behind the Data Sensing Lab: Gathering, Processing, and Analyzing Data at Scale using the Google Cloud Platform – Google took the idea of gathering sensor data from Strata and bumped up the number of sensors. Great example of how to work with large stream.