Applications of Software Architecture for Big Data
Skills:
Distributed Systems85%
The course is intended for individuals who want to build a production-quality software system that leverages big data.
You will apply the basics of software engineering and architecture to create a production-ready distributed system that handles big data. You will build data intensive, distributed system, composed of loosely coupled, highly cohesive applications.
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
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Distributed Systems
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
ACID vs BASE Transactions
Dev.to · 丁久
Chapter 1. The Big Three of Circuits — R, L, C
Medium · Programming
Angular Interviews Questions Morgan Stanley Questions for 5+ Years Experience
Medium · Programming
I Used to Think System Design Diagrams Had to Look Cool. I Was Wrong
Dev.to · Flik – Software Critical Dev
🎓
Tutor Explanation
DeepCamp AI