Google online tech talk: Big Data Analytics with Apache Beam

RSVP on meetup is turned off, make sure to register at the link.

We are partnering with Google to host a series of tech events to learn and practice data analytics, processing with Apache Beam. This is the first session.

Start date: 6 May, 10AM PT (US pacific time, GMT-7) , double check your local time.
RSVP: https://learn.xnextcon.com/event/eventdetails/W20050610

Description:
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.

Speaker:
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