• Specialization:听Software Architecture for Big Data
  • Instructor:听Tyson Gern and Mike Barinek
  • Prior knowledge needed:听Software engineering or big data experience

Learning Outcomes听

  • Build and maintain a distributed system, practicing software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery.听
  • Write custom performance tests to measure the characteristics of a distributed system.听
  • Integrate the appropriate data store(s) to meet performance requirements.听
  • Scale datastores to meet the performance needs of distributed systems.听

Course Content

In this module, we will introduce a project where you can apply some of the concepts from Fundamentals of Software Architecture for Big Data. You will learn about the expectations for the project as well as how to establish features for the project.

In this module you will learn about the concept of a Minimum Viable Product (MVP), 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.

This module builds upon an MVP created in the previous module. Here we show you how to create a database, populate the database as well as analyze the data in the database. The module ends by elaborating on testing.

Here we add more features to the project inclusive of collaborative messaging. We end things off by building a simple health check for production monitoring and discussing acceptance testing.

Duration: 2h 10m

You will complete a peer reviewed final project worth 30% of your grade. You must attempt the final in order to earn a grade in the course.听If you've upgraded to the for-credit version of this course, please make sure you review the additional for-credit materials in the Introductory module and anywhere else they may be found.

Note: This page is periodically updated. Course information on the Coursera platform supersedes the information on this page. Click听View on Coursera听button听above for the most up-to-date information.