Fundamentals of Software Architecture for Big Data

Colorado Boulder starts with software engineering, then separates general architecture, production software and big-data fundamentals. The course’s outcomes connect distributed system design with testing, refactoring and delivery practices. It provides conceptual preparation for the provider’s later architecture projects.

What you will learn

• Explain architecture concerns in production software.
• Compare communication approaches for distributed components.
• Relate testing and delivery practices to system maintainability.

Who this suits

Advanced learners with software-engineering or big-data experience.

Before you enroll

This is not an introductory programming course. Check the assumed distributed-systems vocabulary and project stack, then distinguish enduring design principles from a particular framework’s implementation.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Draw a small batch-processing system and list its failure points. Explain how testing, retry handling and deployment choices affect the system beyond its happy path.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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