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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Intermediate level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
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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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Assessments
6 assignments
Taught in English
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This course is part of the DeepLearning.AI Data Engineering Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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- Gain a foundational understanding of a subject or tool
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There are 4 modules in this course
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Showing 3 of 488
AR
Reviewed on Nov 25, 2024
Easy to follow and lots of good information. Not too technical, but it is the intro :)
TT
Reviewed on Apr 5, 2026
Khóa học này cho tôi hiểu biết cơ bản về vòng đời của kĩ sư dữ liệu, các yếu tố nền móng và quan trọng là suy nghĩ như một kiến trúc sư dữ liệu. Cũng như thực hành các kiến thức đã học được trên AWS
JF
Reviewed on Oct 26, 2024
High level overview is great! But I wish the lab should involve hands-on application, and not just following instructions
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