DeepLearning.AI
Amazon Web Services

Introduction to Data Engineering

Joe Reis

Instructor: Joe Reis

10,197 already enrolled

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

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

Details to know

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Recently updated!

September 2024

Assessments

6 assignments

Taught in English

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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
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There are 4 modules in this course

Gain a high-level overview of the data engineering lifecycle and key undercurrents to understand how data engineers add business value to organizations. Start developing a mental framework for thinking like a data engineer, starting with gathering stakeholder needs and translating them into system requirements. Learn the basics of working on the cloud from an AWS expert.

What's included

18 videos10 readings1 assignment1 app item

Dive deeper into the stages of the data engineering lifecycle and its key undercurrents. Build an end-to-end data pipeline on AWS that encompasses all the stages of the data engineering lifecycle.

What's included

20 videos3 readings1 assignment1 app item

Define data architecture and how it fits within the larger enterprise architecture. Examine the principles of good data architecture and how these principles inform tools and technology choices. Evaluate and optimize the security, performance, reliability, cost-efficiency, and scalability of a web application hosted on AWS.

What's included

22 videos2 readings1 assignment1 app item

Practice gathering stakeholder needs and translating them into system requirements. Choose the appropriate tools and technologies based on the system requirements, then build an end-to-end data system that includes a batch and a streaming component to train a product recommendation system and serves product recommendations to a sales platform.

What's included

17 videos5 readings3 assignments1 app item

Instructor

Joe Reis
DeepLearning.AI
4 Courses10,620 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Cloud Computing

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