About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Coursera Labs
Includes hands on learning projects.
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Advanced Level

Software engineering or big data experience

Approx. 23 hours to complete
English

What you will learn

  • Compare, measure, and test big data models for production use.

  • Write custom performance tests to measure the characteristics of a distributed system.

  • Use queues to horizontally distribute large workloads.

Skills you will gain

  • Real-time Systems
  • Big Data
  • Microservices
  • Software Engineering
  • Distributed Computing
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Advanced Level

Software engineering or big data experience

Approx. 23 hours to complete
English

Offered by

Placeholder

University of Colorado Boulder

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week1
Week 1
6 hours to complete

Predictive Models

6 hours to complete
3 videos (Total 14 min), 6 readings, 3 quizzes
Week2
Week 2
7 hours to complete

Performance of Distributed Systems

7 hours to complete
3 videos (Total 21 min), 9 readings, 3 quizzes
Week3
Week 3
5 hours to complete

Horizontal Distribution of Large Workloads

5 hours to complete
2 videos (Total 12 min), 4 readings, 3 quizzes
Week4
Week 4
6 hours to complete

Highly Available Distributed Systems

6 hours to complete
1 video (Total 5 min), 4 readings, 2 quizzes

About the Software Architecture for Big Data Specialization

Software Architecture for Big Data

Frequently Asked Questions

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