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Learner Reviews & Feedback for Software Architecture Patterns for Big Data by University of Colorado Boulder
28 ratings
About the Course
The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that make use of big data to production.
You will transform big data prototypes into high quality tested production software. After measuring the performance characteristics of distributed systems, you will identify trouble areas and implement scalable solutions to improve performance. Upon completion of the course you will know how to scale production data stores to perform under load, designing load tests to ensure applications meet performance requirements.
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://kidlove.top/degrees/master-of-science-data-science-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Top reviews
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1 - 5 of 5 Reviews for Software Architecture Patterns for Big Data
By Dani S
•Jul 9, 2024
Don't take this course. The files provided won't run, even when I try with multiple setups and following advice from students in forums. These problems have been plaguing the course for months with no resolution
By James T
•Jul 7, 2024
zero academic rigour, everyone gets 100%
By Sarto G
•Mar 4, 2024
Really an advanced course, and i loved it. Sometimes, it need better specifications on assignments.
By Filip
•Jul 9, 2024
Good practical content
By Gerald O O
•Apr 23, 2024
Impressive content