Serverless Data Processing with Dataflow: Operations
By Coursera
on Coursera
· Data Science
About 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.
Instructor
Google Cloud Training
Frequently Asked Questions
How much does Serverless Data Processing with Dataflow: Operations cost?
Visit the Serverless Data Processing with Dataflow: Operations course page for current pricing and available discounts.
Who teaches Serverless Data Processing with Dataflow: Operations?
Serverless Data Processing with Dataflow: Operations is taught by Google Cloud Training, Google Cloud.
What skill level is Serverless Data Processing with Dataflow: Operations for?
This course is designed for all levels learners.