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
Instructor: Joe Reis
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Gain insight into a topic and learn the fundamentals.
479 reviews
Intermediate level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
96%
Most learners liked this course
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Cloud Computing expertise
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from DeepLearning.AI
There are 4 modules in this course
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Showing 3 of 479
BP
Reviewed on Oct 18, 2024
I appreciate the addition of the DE mental framework as it gives a whole lot of context to the more practical knowledge that will be learned in the next courses.
PS
Reviewed on 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
YZ
Reviewed on Sep 21, 2024
Good theory introduction, and looking forward to the hands-on practices in the next courses.
