University of Colorado Boulder
Applications of Software Architecture for Big Data
University of Colorado Boulder

Applications of Software Architecture for Big Data

This course is part of Software Architecture for Big Data Specialization

Taught in English

Tyson Gern
Mike Barinek

Instructors: Tyson Gern

1,500 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Advanced level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • Practice software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery.

  • Architect and create a big data or distributed system using rest collaboration, event collaboration, and batch processing.

  • Create a performant, scalable distributed system that handles big data.

Details to know

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Assessments

4 quizzes, 3 assignments

Course

Gain insight into a topic and learn the fundamentals

Advanced level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

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Build your subject-matter expertise

This course is part of the Software Architecture for Big Data 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

Welcome to Applications of Software Architecture for Big Data. This is a project-based course where you will apply the knowledge and skills gained from the entire Software Architecture for Big Data specialization. In this first week, you will learn about the expectations for the project as well as how to establish the features you need to get started with your own.

What's included

4 videos7 readings1 peer review

This week you will learn about the concept of a Minimum Viable Product (MVP) and how to incrementally add features to the MVP. Additionally, we will show you how to get going with a development environment and set up appropriate tests.

What's included

3 videos5 readings2 quizzes1 assignment1 peer review

This week builds upon your previously created MVP. Now, you will learn how to create a database, populate the database as well as analyze the data in the database. The week ends with further elaboration on testing.

What's included

2 videos3 readings1 quiz1 assignment1 peer review

This week you will add more features to your project, including collaborative messaging. You'll end this week by building a simple health check for production monitoring and discuss acceptance testing.

What's included

1 video2 readings1 quiz1 assignment

Instructors

Tyson Gern
University of Colorado Boulder
3 Courses7,187 learners

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