Software Architecture Patterns for Big Data

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 p

• Compare, measure, and test big data models for production
• Write custom performance tests for distributed systems
• Use queues to horizontally distribute large workloads

• Advanced knowledge of software engineering and distributed systems