How to build unified Batch & Streaming Pipelines with Apache Beam and Dataflow
Details
Let's get you prepared for the 2022 Beam Summit with this interactive tutorial by Patrick Lecuyer - Head of Specialist Customer Engineering at Google Canada, and his team. Examples will run on GCP, but what you'll learn will be portable across Clouds, and distributed processing engines like Apache Spark, Apache Flink, Apache Samza, Apache Apex... so join us regardless of where you do your Big Data processing!
AGENDA
6:00 – 6:15 Introductions, Networking & Opening remarks
6:15 – 7:00 Feature Presentation
7:00 – 7:45 Q&A
7:45 – 8:00 Manning Publications raffle & Closing remarks
Please bring along plenty of enthusiasm and questions – we're looking forward to it being a fun-filled evening :)
HOMEWORK
- Hear why Apache Beam is important & see its portability between runners/clouds: https://youtu.be/owTuuVt6Oro
- Browse through the sessions of the past Beam Summit: https://2021.beamsummit.org/
COMMUNITY
- Any tips to make our Community more valuable to you?
Please fill out the survey to share your ideas & to win in the Manning Publications raffle: https://forms.gle/oH2ZTnSgMTH41xsg7 - Would you like to present at our events?
Join the Community via http://slack.serverlesstoronto.org & post your proposal to the #want-to-present Slack channel https://serverless-toronto.slack.com/messages/CGG6LJGKD. - Our Google Meet subscription limits us to 150 attendees, so RSVP ASAP to avoid disappointment because we have no way to bypass this hard limit.
Big Data
Big Data Stream Processing
Data Analytics
Data Pipelines
Apache Beam