Name: Serverless Data Processing with Dataflow: Foundations
Brand: Google Cloud
Availability: OnlineOnly
Rating: 4.2 (13 reviews)

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92 个评分

课程概述

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 <<<...

1 - Serverless Data Processing with Dataflow: Foundations 的 13 个评论（共 13 个）

创建者 Ali M

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Oct 15, 2022

Easy and quick

创建者 Sukanya R

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Apr 12, 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

创建者 Mouad E

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Aug 21, 2024

very good

创建者 Steve A

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Dec 22, 2024

Too much technical explanation without useful implementation details. All of the labs are cut-and-paste instructions into the terminal without sufficient explanation of what you're doing on your own. You can obviously go back and explore these things on your own, but I feel like this is important for the course itself.

创建者 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.

创建者 Sergey B

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Jul 14, 2022

no acces to the GCP

No Google console

创建者 Chutdanai T

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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.

创建者 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.

创建者 Saket K

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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.

创建者 RLee

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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.