Duke University

Cloud Data Engineering

This course is part of Building Cloud Computing Solutions at Scale Specialization

Taught in English

Some content may not be translated

Noah Gift

Instructor: Noah Gift

11,417 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.1

(72 reviews)

Intermediate level

Recommended experience

40 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

16 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.1

(72 reviews)

Intermediate level

Recommended experience

40 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Building Cloud Computing Solutions at Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • 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
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There are 4 modules in this course

This week, you will learn about the methodologies involved in Data Engineering. You will also learn to evaluate best practices for dealing with the end of Moore’s Law, develop distributed systems that apply software engineering best practices and evaluate best practices for implementing solutions with Big Data. You will apply these practices to build a GPU programming project using Numba and the CUDA SDK.

What's included

25 videos22 readings5 quizzes4 discussion prompts3 ungraded labs

This week, you will learn what Data Engineering is and how to use software engineering best practices in Data Engineering. You will then apply this knowledge by building a command-line data processing tool.

What's included

16 videos10 readings4 quizzes3 discussion prompts4 ungraded labs

This week, you will learn serverless data engineering techniques and data governance best practices. You will then apply this knowledge by building a serverless Data Engineering system.

What's included

23 videos7 readings3 quizzes2 discussion prompts

This week, you will learn about key Data Engineering tasks including ETL, Cloud Databases and Cloud Storage. You will then apply this knowledge by building a serverless AWS lambda function that labels an image using the AWS Rekognition API.

What's included

20 videos10 readings4 quizzes3 discussion prompts4 ungraded labs

Instructor

Instructor ratings
4.5 (23 ratings)
Noah Gift
Duke University
40 Courses100,133 learners

Offered by

Duke University

Recommended if you're interested in Cloud Computing

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Learner reviews

Showing 3 of 72

4.1

72 reviews

  • 5 stars

    48.61%

  • 4 stars

    27.77%

  • 3 stars

    8.33%

  • 2 stars

    11.11%

  • 1 star

    4.16%

RA
4

Reviewed on Dec 30, 2021

MM
5

Reviewed on Dec 20, 2022

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