Duke University

Cloud Data Engineering

Noah Gift

Instructor: Noah Gift

6,095 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.1

(57 reviews)

Intermediate level

Recommended experience

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

Details to know

Shareable Certificate

Add to your LinkedIn profile

Quizzes and assessments

0 quizzes, 4 assessments

English
Subtitles: English

Course

Gain insight into a topic and learn the fundamentals

4.1

(57 reviews)

Intermediate level

Recommended experience

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

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

24 videos6 readings

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

9 videos1 reading

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

22 videos2 readings

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

14 videos3 readings

Instructor

Instructor ratings
4.5 (18 ratings)
Noah Gift
Duke University
11 Courses37,170 learners

Offered by

Duke University
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Learner reviews

Showing 3 of 57

4.1

57 reviews

  • 5 stars

    47.36%

  • 4 stars

    31.57%

  • 3 stars

    8.77%

  • 2 stars

    12.28%

  • 1 star

    1.75%

RA
4

Reviewed on Dec 30, 2021

Recommended if you're interested in Information Technology

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