Share this link via
Or copy link
Software Architecture Patterns for Big Data
University of Colorado Boulder via Coursera
Bookmark
0
Likes
0
Overview
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...
Syllabus
- Predictive Models
- Welcome to Software Architecture Patterns for Big Data. In this first week of the course, you will learn how to write tests that allow you to iterate on predictive models.
- Performance of Distributed Systems
- In this week, you will learn how to ensure your distributed system operates as expected in production by writing performance tests.
- Horizontal Distribution of Large Workloads
- This week you will use queues to horizontally distribute large workloads.
- Highly Available Distributed Systems
- In the last week of this course, you will learn the advantages and disadvantages of high availability distributed systems.
University of Colorado Boulder via Coursera
1 hour 23 minutes
Paid Certificate Available
English
On-Demand
Advanced
Instructor
Tyson Gern
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Demystify complex big data technologies Compared to traditional data processing,...
Free
Organizations are pressured to become digital enterprises for good reason....
Free
You must be logged in to submit a review.