Google Cloud Tag

http://www.youtube.com/watch?v=6xV6aelL6fQ Last week, Shine's very own Pablo Caif gave a presentation at GCP Next 2016 in San Francisco, which is Google’s largest annual cloud platform event. Pablo delivered an outstanding talk on the work Shine have done for Telstra, which involves building solutions on the GCP stack to manage and analyse their massive datasets. More specifically, the talk focused around two of Google’s core big data products –BigQuery & Cloud Dataflow.

Shine is extremely proud to announce that Pablo Caif has been invited to present at GCP Next 2016, which is Google's largest annual cloud platform event held in San Francisco. Pablo will be presenting on the work Shine have done for Telstra, which involves building solutions on GCP to...

contrailscience.com_skitch_skitched_20130315_131709 One of the projects that I'm currently working on is developing a solution whereby millions of rows per hour are streamed real-time into Google BigQuery. This data is then available for immediate analysis by the business. The business likes this. It's an extremely interesting, yet challenging project. And we are always looking for ways of improving our streaming infrastructure. As I explained in a previous blog post, the data/rows that we stream to BigQuery are ad-impressions, which are generated by an ad-server (Google DFP). This was a great accomplishment in its own right, especially after optimising our architecture and adding Redis into the mix. Using Redis added robustness, and stability to our infrastructure.  But – there is always a but – we still need to denormalise the data before analysing it. In this blog post I'll talk about how you can use Google Cloud Pub/Sub to denormalize your data in real-time before performing analysis on it.

You may have already read our previous post here about Shine's Pablo Caif & Graham Polley being nominated to become 'Google Developer Experts' (GDE). Well, today Shine are proud to announce that both guys have been officially awarded the braggable title of GDE, and we'd like to congratulate them...

multiple-seats

My work commute

My commute to and from work on the train is on average 17 minutes. It's the usual uneventful affair, where the majority of people pass the time by surfing their mobile devices, catching a few Zs, or by reading a book. I'm one of those people who like to check in with family & friends on my phone, and see what they have been up to back home in Europe, while I've been snug as a bug in my bed. Stay with me here folks. But aside from getting up to speed with the latest events from back home, I also like to catch up on the latest tech news, and in particular what's been happening in the rapidly evolving cloud area. And this week, one news item in my AppyGeek feed immediately jumped off the screen at me. Google have launched yet another game-changing product into their cloud platform big data suite. It's called Cloud Dataproc.
Bq_tOGxCMAELB4k Back in June 2014, at the annual Google IO in San Francisco, Google unveiled their newest, and much hyped cloud product, Cloud Dataflow. The demo they did that day, using a live twitter feed to analyze supporter sentiment during the 2014 world cup, got my mouth watering at the prospect of working with it. It looked downright freaking awesome, and I just couldn't wait to get my hands on it to take it for a spin.

Shine is proud to have been awarded the Computerworld Data+ award for our work with Google BigQuery.  The innovative work is a great example of using great technology to deliver business benefit.  You can see the write up of the award here: http://www.computerworld.com/article/2598539/shine-technologies.html Congratulations to the Shiners...