What you'll learn

Skills you'll gain

There are 9 modules in this course

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.

Monitoring

Logging and Error Reporting

Troubleshooting and Debug

Performance

Testing and CI/CD

Reliability

Flex Templates

Summary

Explore more from Data Analysis