Software Architecture for Big Data Specialization
Master software architecture for big data. Learn scalable systems, microservices, and distributed computing.
Master software architecture for big data. Learn scalable systems, microservices, and distributed computing.
This comprehensive specialization teaches software engineers the principles of building and architecting large-scale systems for big data. Covering fundamentals of software architecture, distributed computing, and production-ready systems, the program provides hands-on experience through applied projects. Students learn test-first development, continuous integration, and how to create performant, scalable distributed systems. The specialization focuses on real-world applications, teaching students to architect systems using REST, event collaboration, and batch processing.
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What you'll learn
Design and implement large-scale distributed systems for big data, master software engineering fundamentals including test-first development, architect systems using REST, event collaboration, and batch processing, create performant and scalable distributed systems, implement continuous integration and delivery pipelines, measure and optimize system performance, develop production-ready big data solutions, apply microservices architecture patterns.
Skills you'll gain
This course includes:
61 Hours PreRecorded video
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FullTime access
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There are 3 courses in this program
Fundamentals of Software Architecture for Big Data
Course 1 · 20 Hours to complete · 4 modules
Applications of Software Architecture for Big Data
Course 2 · 16 Hours to complete · 4 modules
Software Architecture Patterns for Big Data
Course 3 · 25 Hours to complete · 4 modules
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