Serverless technologies let you build and scale applications and services rapidly without the need to provision or manage servers. But how do you incorporate serverless concepts into your big data architectures?
Ben Snively explores the concepts behind and benefits of serverless architectures for big data, providing guidance on design patterns to ingest, store, process, and visualize your data. Along the way, Ben explains when and how you can use serverless technologies to streamline data processing, minimize infrastructure management, and improve agility and robustness. You’ll also learn a reference architecture using a combination of cloud and open source technologies that will help you solve your big data problems.
This session is sponsored by Amazon Web Services.
Ben Snively is a specialist solutions architect on the Amazon Web Services public sector team, where he specializes in big data, analytics, and search. Previously, Ben was an engineer and architect on DoD contracts, where he worked with Hadoop and big data solutions. He has over 11 years of experience creating analytical systems. Ben holds both a bachelor’s and master’s degree in computer science from Georgia Institute of Technology and a master’s in computer engineering from University of Central Florida.
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