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Volver a Serverless Data Processing with Dataflow: Foundations

Opiniones y comentarios de aprendices correspondientes a Serverless Data Processing with Dataflow: Foundations por parte de Google Cloud

53 calificaciones

Acerca del Curso

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: <<<...

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1 - 7 de 7 revisiones para Serverless Data Processing with Dataflow: Foundations

por Sumit K S

2 de ago. de 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.

por Saket K

6 de may. de 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.

por RLee

13 de jun. de 2022

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

por Sukanya R

13 de abr. de 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

por Gabriel B

14 de mar. de 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

por Philipp T

24 de jul. de 2022

I​t's plain boring without appropriate information what is happening inside. Slides are terrible.

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

por Sergey B

14 de jul. de 2022

no acces to the GCP

No Google console