- Introduction
- This module covers the course outline and does a quick refresh on the Apache Beam programming model and Google’s Dataflow managed service.
- Beam Portability
- In this module we are going to learn about four sections, Beam Portablity, Runner v2, Container Environments, and Cross-Language Transforms.
- Separating Compute and Storage with Dataflow
- In this module we discuss how to separate compute and storage with Dataflow. This module contains four sections Dataflow, Dataflow Shuffle Service, Dataflow Streaming Engine, Flexible Resource Scheduling.
- IAM, Quotas, and Permissions
- In this module, we talk about the different IAM roles, quotas, and permissions required to run Dataflow
- Security
- In this module, we will look at how to implement the right security model for your use case on Dataflow.
- Summary
- In this course, we started with the refresher of what Apache Beam is, and its relationship with Dataflow.