01. Module introduction
02. Introduction to Dataflow
03. Why customers value Dataflow
04. Building Dataflow pipelines in code
05. Key considerations with designing pipelines
06. Transforming data with PTransforms
07. Lab Intro - Building a Simple Dataflow Pipeline
09. Lab - Serverless Data Analysis with Dataflow - A Simple Dataflow Pipeline (
10. Aggregate with GroupByKey and Combine
11. Lab Intro - MapReduce in Beam
13. Lab - Serverless Data Analysis with Beam - MapReduce in Beam (Java)
14. Side inputs and windows of data
15. Lab Intro - Serverless Data Analysis with Dataflow - Side Inputs
17. Lab - Serverless Data Analysis with Dataflow - Side Inputs (Java)
18. Creating and re-using pipeline templates
19. Summary