Featured resource
2026 Tech Forecast
2026 Tech Forecast

Stay ahead of what’s next in tech with predictions from 1,500+ business leaders, insiders, and Pluralsight Authors.

Get these insights
  • Course
    • Libraries: If you want this course, consider one of these libraries.
    • Cloud
    • Data

Conceptualizing the Processing Model for the GCP Dataflow Service

Dataflow represents a fundamentally different approach to Big Data processing than computing engines such as Spark. Dataflow is serverless and fully-managed, and supports running pipelines designed using Apache Beam APIs.

Janani Ravi - Pluralsight course - Conceptualizing the Processing Model for the GCP Dataflow Service
Janani Ravi
What you'll learn

Dataflow allows developers to process and transform data using easy, intuitive APIs. Dataflow is built on the Apache Beam architecture and unifies batch as well as stream processing of data. In this course, Conceptualizing the Processing Model for the GCP Dataflow Service, you will be exposed to the full potential of Cloud Dataflow and its innovative programming model.

First, you will work with an example Apache Beam pipeline performing stream processing operations and see how it can be executed using the Cloud Dataflow runner.

Next, you will understand the basic optimizations that Dataflow applies to your execution graph such as fusion and combine optimizations.

Finally, you will explore Dataflow pipelines without writing any code at all using built-in templates. You will also see how you can create a custom template to execute your own processing jobs.

When you are finished with this course, you will have the skills and knowledge to design Dataflow pipelines using Apache Beam SDKs, integrate these pipelines with other Google services, and run these pipelines on the Google Cloud Platform.

Table of contents

About the author
Janani Ravi - Pluralsight course - Conceptualizing the Processing Model for the GCP Dataflow Service
Janani Ravi

A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.

Get access now

Sign up to get immediate access to this course plus thousands more you can watch anytime, anywhere.

Get started with Pluralsight