Fundamentals of Software Architecture for Big Data
The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage...
By Tyson Gern on Coursera
About This Course
The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage big data. You will be introduced to software engineering concepts necessary to build and scale large, data intensive, distributed systems. Starting with software engineering best practices and loosely coupled, highly cohesive data microservices, the course takes you through the evolution of a distributed system over time. 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
Topics Covered
Frequently Asked Questions
How much does Fundamentals of Software Architecture for Big Data cost?
Visit the Fundamentals of Software Architecture for Big Data course page for current pricing and available discounts.
Who teaches Fundamentals of Software Architecture for Big Data?
Fundamentals of Software Architecture for Big Data is taught by Tyson Gern, University of Colorado Boulder.
What skill level is Fundamentals of Software Architecture for Big Data for?
This course is designed for beginner learners.
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