Big Data Architecture Patterns on Google Cloud Platform

This is our second Big Data talk in September by a Googler. September is turning out to be our month of Big Data so don't miss out!!

Reza Rokni is a Google Cloud Platform Solution Engineer "I have had a lot of fun in a lot of different roles from consulting, product management to my current and favorite role, solution engineer for Google's awesome Data & Analytics platform. My idea of a good day... is finding a simple solution to a complex problem, then tearing up the solution and finding something even simpler."

Reza recently presented this talk at the Google Cloud Platform Big Data Bootcamp in London in July. He has very kindly agreed to take time out of his busy schedule to give us some insight into how enterprise end-to-end Big Data solutions are designed and created using the Google Cloud Platform toolset. He reviews some solutions including code snippets and gives a good feel for how to create pipelines using the DataFlow SDK. Cloud Dataflow is a fully managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. It is one of the key components of Googles Big Data Solution offerings. This is a great opportunity to see the GCP components at their best - processing huge amounts of data effortlessly with fully integrated tools. Reza designs and creates solutions so he can answer your questions and give practical insights/suggestions to problems you may be encountering. And if you don't know anything about this, you really can't afford to miss it!