Webinar: An Interactive Introduction to Apache Beam using Jupyter Notebooks

** RSVP on meetup is turned off, make sure to follow the instructions below to register.

Introducing Beam Learning Month in May 2020 - a series of practical introductory sessions to Apache Beam!

Apache Beam is an open source, unified model for defining both batch and streaming data-parallel processing pipelines. Using one of the open source Beam SDKs, you build a program that defines the pipeline. The pipeline is then executed by one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow.

In this talk, we will be introducing Apache Beam using Jupyter Notebooks by live coding both a batch and streaming pipeline using publicly available COVID-19 data.

Start date/time: May 6, 10AM PT / 1PM ET

RSVP: https://learn.xnextcon.com/event/eventdetails/W20050610

This is the first session of the series. There will be 3 other webinars each week on Wednesday at 10am PST.

Webinar 2: Best practices towards a production-ready pipeline by Pablo Estrada scheduled for May 13. Register: https://learn.xnextcon.com/event/eventdetails/W20051310

Webinar 3: Deploying a Beam pipeline on Spark Runner by Ismaël Mejía scheduled for May 20. Links to register will be posted next week.

Webinar 4: Deploying a Beam pipeline on Flink Runner by Maximilian Michels scheduled for May 27. Links to register will be posted in 2 weeks

Speakers for webinar 1:
Samuel Rohde is a Software Engineer at Google and has been working for the Cloud Dataflow team for the past 5 years. He graduated from UIUC. Sam has been contributing to the Apache Beam source code for the past couple of years.

Ning Kang is a member of the Google Cloud Dataflow team, and has been contributing to the Apache Beam Interactive Notebook OSS project. Before that, he was a software engineer in the Google Store team where he helped with 3 large hardware (pixel phone and etc.) sales events. Before joining Google, he worked in the EMR software industry