This specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. Through three courses you will learn about how to build and architect performant distributed systems from industry experts at Initial Capacity.
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This specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. Through three courses you will learn about how to build and architect performant distributed systems from industry experts at Initial Capacity.
This specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. Through three courses you will learn about how to build and architect performant distributed systems from industry experts at Initial Capacity.
This specialization 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://www.coursera.org/degrees/master-of-science-data-science-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
What's inside
Three courses
Fundamentals of Software Architecture for Big Data
(0 hours)
Fundamentals of Software Architecture for Big Data
(0 hours)
Software Architecture Patterns for Big Data
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Software Architecture Patterns for Big Data
(0 hours)
Applications of Software Architecture for Big Data
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Applications of Software Architecture for Big Data
(0 hours)Learning objectives
- Practice software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery.
- architect and create a big data or distributed system using rest collaboration, event collaboration, and batch processing.
- Create4 a performant, scalable distributed system that handles big data.
- Practice software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery.
- architect and create a big data or distributed system using rest collaboration, event collaboration, and batch processing.
- Create4 a performant, scalable distributed system that handles big data.
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