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Serverless Data Processing with Dataflow: Foundations

IntermediateSkill Level
Updated 05/2026
Master Apache Beam and Dataflow foundations including portability, Runner v2, Shuffle Service, Streaming Engine, IAM, quotas, and security.
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1 hr 18 min
17 videos
28 Exercises
1,450 XP
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Course Description

This course covers the foundations of serverless data processing with Apache Beam and Dataflow. Topics include Beam portability, Runner v2, container environments, cross-language transforms, Dataflow Shuffle and Streaming Engine, Flexible Resource Scheduling, IAM, quotas, networking, and security with CMEK.

Prerequisites

There are no prerequisites for this course
1

Introduction

This module covers the course outline and does a quick refresh on the Apache Beam programming model and Google’s Dataflow managed service.
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2

Beam Portability

In this module we are going to learn about four sections, Beam Portablity, Runner v2, Container Environments, and Cross-Language Transforms.
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3

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.
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4

IAM, Quotas, and Permissions

In this module, we talk about the different IAM roles, quotas, and permissions required to run Dataflow
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5

Security

In this module, we will look at how to implement the right security model for your use case on Dataflow.
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6

Summary

In this course, we started with the refresher of what Apache Beam is, and its relationship with Dataflow.
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Serverless Data Processing with Dataflow: Foundations
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