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Learner Reviews & Feedback for Introduction to Data Engineering by DeepLearning.AI

4.8
stars
219 ratings

About the Course

In this course, you will be introduced to the data engineering lifecycle, from data generation in source systems, to ingestion, transformation, storage, and serving data to downstream stakeholders. You’ll study the key undercurrents that affect all stages of the lifecycle, and start developing a framework for how to think like a data engineer. To gain hands-on practice, you’ll gather stakeholder needs, translate those needs into system requirements, and choose tools and technologies to build systems that provide business value. By the end of this course you’ll be spinning up batch and streaming data pipelines to serve product recommendations on the AWS cloud!...

Top reviews

AE

Nov 4, 2024

This is a lot of contents for just the first week, but everything is well explained. We have a now a good understanding of some key concepts pertaining to Data Engineering.

PS

Oct 27, 2024

One of the best courses in the platform, it will guide you to the fundamental principles of data engineering and you'll build your first pipeline for stream and batch data

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51 - 53 of 53 Reviews for Introduction to Data Engineering

By Munir N

•

Oct 22, 2024

Content and the topics are managed very well

By Syd F

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Oct 31, 2024

As someone already in the field of data, this course was pretty easy, but I could see it being pretty difficult for newcomers to understand all of the material. I would have preferred more focus on the labs, and think they should have started with basic data pipelines instead of complicated Terraform/AWS pipelines right off the back. It would have been cool to implement a data pipeline that's usable for a small project without so much reliance on AWS.

By Srinivasan

•

Oct 9, 2024

Sort of theoretical, would've been better if the use cases were more realistic