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Fundamentals of Software Architecture for Big Data

This course is part of Software Architecture for Big Data Specialization

Instructors: Tyson Gern +1 more

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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.

Skills you'll gain

Maintainability

Microservices

Test Driven Development (TDD)

System Monitoring

Software Architecture

Software Engineering

Service Level

Distributed Computing

Data Structures

Database Systems

Blockchain

Transaction Processing

Data Architecture

Continuous Integration

There are 4 modules in this course

This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

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