Australia's Google Cloud Platform region has arrived!

In conjunction with this launch, we will be discussing interesting GCP features in our upcoming meetup. Hear anything and everything GCP, from what it means to be "serverless" to bike share data analysis.

To make the most use of your time, come with questions, mingle, and interact with our speakers from all around the globe! Limited seats are available so RSVP now! 

• IMPORTANT: RSVPs will close one week before the event to ensure Google security has enough time for their internal processes to kick in. In line with this, please make sure that you have your FIRST NAME and LAST NAME indicated correctly in your meetup.com profile. Do not forget to bring your ticket/email confirmation on the day of!

See you there!

We will be hearing from:

Mete Atamel (Apache Beam and Google Cloud Dataflow) - In this session, we will take a look at the history of massive-scale data processing at Google and how it has evolved over the years. We will learn about Apache Beam, an open source programming model unifying batch and stream processing and see how Apache Beam pipelines can be executed in Google Cloud Dataflow, a fully-managed cloud service for batch and stream data processing.

Bret McGowen (Serverless with Google Cloud) - From Functions-as-a-Service to Backend-as-a-Service, even Big Data-as-a-Service, Serverless is taking many different shapes. Learn what these mean and how Google Cloud Platform is building technology to make sure there's nothing standing between you and running your code. You'll see live demos of integration between Firebase, Cloud Functions, Cloud Pub/Sub (and even machine learning) to build autoscaling apps in record time - all without managing servers or application runtimes.

Sara Robinson (Analysing 33 million bike trips with BigQuery) - With so many people using NYC’s bike share program, I wanted to see if I could spot any trends in usage. But how did I go from observing bikers on the street to creating visualisations of popular routes based on different biker demographics? Enter Google’s managed big data analytics warehouse tool - BigQuery! Using BigQuery, I ran queries on 33 million bike trips and integrated my findings with a few visualisation tools. I’ll explain my process, do some live queries, and show you how to do the same analysis with your own data.

Malcolm Holden (Dataproc Overview) - Overview and demo of Google Cloud Platform's Dataproc: a managed Apache Hadoop, Apache Spark, Apache Pig, and Apache Hive service, to easily process big datasets at low cost.