Name: Serverless Data Processing with Dataflow: Operations
Brand: Google Cloud
Availability: OnlineOnly
Rating: 3.6 (8 reviews)

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Learner reviews & feedback for Serverless Data Processing with Dataflow: Operations

3.621 reviews

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.

Featured reviews

5.0Reviewed Oct 21, 2023

Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.

5.0Reviewed Aug 4, 2022

Labs are keeping up-to-date, but are lacking overall theoretical summary to teach symmatically how each code could work. Still a very typical problem of courses offered by Google Cloud.

All reviews

Showing: 8 of 8

Marcos

1.0

Reviewed Dec 3, 2021

A lot labs with problem and the responsable for support (QWIKLABS) doesn't help.

RLee

5.0

Reviewed Aug 5, 2022

Labs are keeping up-to-date, but are lacking overall theoretical summary to teach symmatically how each code could work. Still a very typical problem of courses offered by Google Cloud.

Raul Saez Tapia

5.0

Reviewed Oct 22, 2023

Good intermediate course covering the big picture about how to develop data platforms using GCP and Dataflow.

Ercim Caglasan

5.0

Reviewed Nov 15, 2023

In-depth, Practical learning through labs.

Philipp Marinovic-Brünjes

3.0

Reviewed Dec 7, 2021

Some of the labs were buggy but suppurt not really willing to help.