Software Architecture for Big Data
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.
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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 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-boulderAuto Summary
Explore the "Software Architecture for Big Data" course, designed for software engineers keen on mastering the principles of building large-scale, performant distributed systems. Presented by industry experts from Initial Capacity, this expert-level course is part of CU Boulder's MS in Data Science or Computer Science on Coursera. Enjoy flexible, 8-week sessions with pay-as-you-go tuition. Ideal for recent graduates and professionals, this course offers valuable academic credit and practical insights. Enroll now to advance your career in IT & Computer Science.
Tyson Gern
Mike Barinek