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!
Introduction to Data Engineering


Introduction to Data Engineering
This course is part of DeepLearning.AI Data Engineering Professional Certificate


Instructors: Joe Reis
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Access provided by University of Toronto
45,131 already enrolled
488 reviews
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What you'll learn
Gain a comprehensive understanding of the data engineering lifecycle and its undercurrents
Gather stakeholder needs and translate them into system requirements
Design and implement batch and streaming data pipelines on AWS
Skills you'll gain
Tools you'll learn
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Reviewed on 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.
Reviewed on Oct 24, 2024
Amazing, very comprehensive course! Thank you for your dedication in creating this treasure!
Reviewed on Nov 25, 2024
Easy to follow and lots of good information. Not too technical, but it is the intro :)
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