Shine's very own Pablo Caif will be rocking the stage at the very first YOW! Data conference in Sydney. The conference will be running over two days (22-23 Sep) and is focused big data, analytics, and machine learning. Pablo will give his presentation on Google BigQuery,...
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.
[embed]https://www.youtube.com/watch?v=3QHNsE9Y6Qs[/embed] Video of the recent 'Big Data the Cloud Way' presentation by Shine's Graham Polley and Shane Neubauer is now available. In it, Graham and Shane talk about how they used both the Google and Amazon cloud stacks at Telstra to query massive quantities of data...
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...
