Applications of Software Architecture for Big Data
This course is part of Software Architecture for Big Data Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Software Architecture for Big Data Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Practice software engineering fundamentals with test-first development
Architect distributed systems using REST and event collaboration
Create scalable big data processing systems
Implement continuous integration and delivery pipelines
Design and develop production-ready applications
Skills you'll gain
This course includes:
0.8 Hours PreRecorded video
4 quizzes, 3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This advanced course focuses on building production-quality software systems for big data processing. Students learn to architect and implement data-intensive distributed systems using modern software engineering practices. The curriculum covers MVP development, continuous integration/delivery, data persistence, REST APIs, and event collaboration. Through hands-on projects, participants create scalable, performant systems while applying test-first development and proper software architecture patterns.
Project Overview
Module 1 · 2 Hours to complete
MVP & Development Environment
Module 2 · 5 Hours to complete
Affixing Features
Module 3 · 3 Hours to complete
Scaling your MVP & Wrapping Up
Module 4 · 4 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Software Architecture for Big Data Specialization
Instructors
Lecturer and Co-founder of Initial Capacity
Tyson Gern is a Lecturer in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder, where he specializes in software architecture and big data. He co-founded Initial Capacity, a boutique software consultancy dedicated to enhancing software development processes and improving the experiences of those who create software. With a PhD in Mathematics, Gern brings a unique analytical perspective to his work, which has included significant roles at Pivotal Labs, where he helped build engineering teams and develop production software for a diverse range of clients.At CU Boulder, Tyson teaches several courses related to software architecture, including "Applications of Software Architecture for Big Data" and "Fundamentals of Software Architecture for Big Data." His industry experience spans over eight years at Pivotal Labs, where he played a pivotal role in launching the Dublin office and developing the award-winning Platform Acceleration Lab. Tyson is proficient in multiple programming languages, including Kotlin, Python, TypeScript, and Go, and is always eager to learn new technologies. Through his teaching and consultancy work, he aims to bridge the gap between theoretical concepts and practical applications in software engineering, equipping students with the skills necessary to thrive in an ever-evolving tech landscape
Lecturer
Mike Barinek is a Lecturer in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder, where he focuses on software architecture and development for big data applications. As the Founder and Lead Developer at Initial Capacity, a software consultancy, he aims to improve software creation processes and enhance the experiences of developers. Before his current role, Mike managed VMware Tanzu Application Services (formerly Pivotal Labs) for the Americas, leading a team of 180 consultants and achieving significant growth since opening Pivotal Labs Boulder in 2010.With a strong background in Java/Kotlin, Ruby, and location-based services, Mike has developed large-scale enterprise applications and consumer web and mobile apps for notable clients including Best Buy, National Health Service, Volkswagen, SendGrid, and Twitter. He began his career as a system architect at Gnip, contributing to the initial software that led to its acquisition by Twitter. His industry experience informs his teaching of courses such as "Applications of Software Architecture for Big Data," "Fundamentals of Software Architecture for Big Data," and "Software Architecture Patterns for Big Data." Through these courses, Mike Barinek equips students with essential skills to navigate the complexities of software engineering in the context of big data.
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3.5 course rating
15 ratings
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