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Back to Serverless Data Processing with Dataflow: Foundations

Learner Reviews & Feedback for Serverless Data Processing with Dataflow: Foundations by Google Cloud

4.2
stars
81 ratings

About the Course

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow. Prerequisites: The Serverless Data Processing with Dataflow course series builds on the concepts covered in the Data Engineering specialization. We recommend the following prerequisite courses: (i)Building batch data pipelines on Google Cloud : covers core Dataflow principles (ii)Building Resilient Streaming Analytics Systems on Google Cloud : covers streaming basics concepts like windowing, triggers, and watermarks >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

Top reviews

RR

Jun 12, 2022

Lab is relatively scarce in relation to many concepts introduced in this course. More labs should be designed to help learners internalise the knowledge.

ZP

Jul 29, 2024

Very useful to know. I found this course very interesting.

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1 - 12 of 12 Reviews for Serverless Data Processing with Dataflow: Foundations

By Chutdanai T

•

Jun 23, 2023

The course "Serverless Data Processing with Dataflow: Foundations" offers a good summarize of serverless data processing, providing comprehensive content with a clear focus on the key points. Practical exercises enhance understanding, making it a valuable choice for those interested in mastering Dataflow. Highly recommended for skill enhancement.

By Sumit K S

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Aug 2, 2022

It is what they say, it builds on the Data and ML Engineer Specialization, it was good for someone like me who already has taken quite a few qwiklabs labs and knows how to work around GCloud console, for starters I would recommend to take any other fundamental courses that cover basics of dataflow and then try this.

By Saket K

•

May 6, 2021

One of the best courses to cover fundamentals conceptual topics on Beam and some in-depth understanding of Dataflow runner and nuances on cloud. A must have training for people looking to scale on Dataflow or Apache Beam.

By RLee

•

Jun 13, 2022

Lab is relatively scarce in relation to many concepts introduced in this course. More labs should be designed to help learners internalise the knowledge.

By Zain P

•

Jul 30, 2024

Very useful to know. I found this course very interesting.

By Ali M

•

Oct 15, 2022

Easy and quick

By Sukanya R

•

Apr 13, 2021

It would be better having detailed explanation of concepts for very beginners. This is a great course. Having detailed information will help learners learn quickly

By Gabriel C B

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Mar 14, 2022

Was mistaken about the objective of this course, its actually a very good basis, just would refine the qwiklabs challenges, its mostly an cook recipe

By Mouad E

•

Aug 21, 2024

very good

By Maksim T

•

Nov 12, 2024

the google blod article from the resources page gave me more understanding than the course itself

By Philipp T

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Jul 24, 2022

It's plain boring without appropriate information what is happening inside. Slides are terrible.

Basically course doesn't teach you anything useful and simply fills you with information that can be read in the Dataflow documentation.

By Sergey B

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Jul 14, 2022

no acces to the GCP

No Google console