This training brings together technical contributors in a group setting to design and architect solutions to a challenging business problem. You’ll explore big data application architecture concepts, including data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, minimizing the risk of an unsound architecture and technology selection, and then apply them to the design of a challenging system.
You won’t do any programming during the workshop, but you’ll be able to explore solutions implemented and deployed in the cloud.
Workshop application use cases
Application vertical slice
Application data and processing
Fault-tolerant distributed systems
Wrap-up and Q&A
Bruce Martin is a senior instructor at Cloudera, where he teaches courses on data science, Apache Spark, Apache Hadoop, and data analysis. Previously, Bruce was principle architect and director of advanced concepts at SunGard Higher Education, where he developed the software architecture for SunGard’s Course Signals Early Intervention System, which uses machine learning algorithms to predict the success of students enrolled in university courses. Bruce’s other roles have included senior staff engineer at Sun Microsystems and researcher at Hewlett-Packard Laboratories. Bruce has written many papers on data management and distributed system technologies and frequently presents his work at academic and industrial conferences. Bruce has authored patents on distributed object technologies. Bruce holds a PhD and master’s degree in computer science from the University of California at San Diego and a bachelor’s degree in computer science from the University of California, Berkeley.
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