Serverless Data Processing with Dataflow: Foundations faq

learnersLearners: 93
instructor Instructor: Omar Ismail and Federico Patota instructor-icon
duration Duration: duration-icon

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. Learn the Apache Beam vision, the benefits of the Beam Portability framework, how Dataflow allows you to separate compute and storage, and how to implement the right security model for your use case. Prerequisites include courses on Building batch data pipelines and Building Resilient Streaming Analytics Systems. Enroll now to start learning!

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

5th Jun, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 25th, 2023]

What skills and knowledge will you acquire during this course?
During this course, you will acquire the skills and knowledge to understand the concepts and principles of Apache Beam and its relationship with Dataflow. You will also learn about the benefits of the Beam Portability framework and how it allows developers to use their preferred programming language with their desired execution backend. Additionally, you will gain an understanding of how Dataflow enables the separation of compute and storage, leading to cost savings. You will also learn about the interaction between identity, access, and management tools with Dataflow pipelines. Lastly, the course will cover the implementation of the appropriate security model for your specific use case on Dataflow.

How does this course contribute to professional growth?
This course on Serverless Data Processing with Dataflow contributes to professional growth by providing a refresher on Apache Beam and its relationship with Dataflow. It also introduces the Apache Beam vision and the benefits of the Beam Portability framework, which allows developers to use their preferred programming language with their preferred execution backend. The course teaches how Dataflow enables the separation of compute and storage, leading to cost savings. It also covers the interaction of identity, access, and management tools with Dataflow pipelines. Additionally, the course explores implementing the appropriate security model for Dataflow use cases. Prior knowledge in Data Engineering and completion of prerequisite courses on building batch data pipelines and resilient streaming analytics systems on Google Cloud are recommended for enrollment in this course.

Is this course suitable for preparing further education?
This course is suitable for preparing further education.

Pros & Cons

Pros Cons
  • pros

    Builds on Data and ML Engineer Specialization.

  • pros

    Covers fundamentals of Beam and Dataflow runner.

  • pros

    Easy and quick.

  • pros

    Great course for beginners.

  • cons

    Limited lab exercises.

  • cons

    No detailed explanation of concepts.

  • cons

    Poor slides.

  • cons

    No access to GCP console.

Course Provider

Provider Coursera's Stats at AZClass

Discussion and Reviews

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faq FAQ for Google Cloud Platform (GCP) Courses

Q1: What online learning opportunities are available for serverless data processing with Dataflow Foundations?

There are a variety of online learning opportunities available for serverless data processing with Dataflow Foundations. These include courses, tutorials, and webinars that cover topics such as setting up a Dataflow project, understanding the Dataflow architecture, and using Dataflow to process data. Additionally, there are resources available to help you learn how to use Dataflow to build data pipelines, create data models, and analyze data.

Q2: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q3: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q4: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q5: How many people have enrolled in this course?

So far, a total of 93 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Google Cloud Platform (GCP) courses and certifications, our extensive collection at azclass.net will help you.

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