Cloud Dataflow and its OSS counterpart Apache Beam are amazing tools for Big Data. So today your co-hosts Francesc and Mark interview Frances Perry, the Tech Lead and PMC for those projects, to join us and tell us more about it.

About Frances Perry

Frances Perry is a software engineer who likes to make big data processing easy, intuitive, and efficient. After many years working on Google’s internal data processing stack, she joined the Cloud Dataflow team to make this technology available to external cloud customers. She led the early work on Dataflow’s unified batch/streaming programming model and is now on the PMC for Apache Beam.

Cool things of the week

Rewriting moviegolf.com Medium
App Engine users, now you can configure custom domains from the API or CLI announcement
Join the gRPC/Istio community day June 26th at Google Sunnyvale twitter

Interview

Cloud Dataflow homepage
Apache Beam homepage
- Java SDK Quickstart docs
- Python SDK Quickstart docs
Cloud Dataflow, Apache Beam and you announcement

Question of the week

How can I connect all the instances in a Managed Instance Group to CloudSQL securely?

Connecting MySQL Client from Compute Engine
About the Cloud SQL Proxy
CloudSQL Proxy GitHub repo

Where can you find us next?

Francesc just released a new #justforfunc episode where he explains how to use cgo.

He will be running a workshop at QCon New York on Go tooling based on this video, after that he’ll be at GopherCon in Denver!

Mark is still on vacation - but don’t worry, he’ll be back soon!

Cloud Dataflow with Frances Perry 34:25 Share

Google Cloud Platform Podcast

Shownotes Transcript

Cloud Dataflow with Frances Perry