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Monday, April 27 • 8:30am - 5:00pm
Big Data: Architectures and Technologies

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Scalable big-data systems are significant long-term investments that must scale to handle ever-increasing data volumes, and therefore represent high-risk applications in which the software and data architectures are fundamental components of ensuring success. This one-day course is designed for architects and technical stakeholders such as product managers, development managers, and systems engineers involved in the development of big data applications. It focuses on the relationship among application software, data models, and deployment architectures, and how specific technology selection relates to all of these. While we touch briefly on data analytics, the course focuses on the distributed data storage and access infrastructure, and the architecture tradeoffs needed to achieve scalability, consistency, availability, and performance. We illustrate these architecture principles with examples from selected NoSQL product implementations.

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Course Instructors
avatar for John Klein

John Klein

John Klein has over 20 years’ experience developing systems and software. He joined the Carnegie Mellon Software Engineering Institute (SEI) in 2008, where he is a Senior Member of the Technical Staff. Before joining the SEI, John was a chief architect at Avaya, Inc., where his responsibilities included developing multimodal agents, architectures for communication analytics, and the Customer Interaction Software Product Line architecture... Read More →


Monday April 27, 2015 8:30am - 5:00pm
5. Salon B

Attendees (12)