Streaming and CEP - DataTorrent VS Storm Vs Spark


Details
Agenda
- Real Time Streaming and Complex Event Processing
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Problem and challenges of Streaming and CEP
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Concepts and Key System Requirements
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Do existing technologies fall short? - storm, spark?
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Where does Data torrent fit in?
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In depth Business use case for DataTorrent
- DataTorrent Technology
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Architecture overview and under the hood
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How do we design applications using DataTorrent?
-Programming interfaces and built-in operators
- Example application walk through - DataTorrent/YARN
- DataTorrent Performance
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How fast is DataTorrent than storm and spark?
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DataTorrent horizontal scaling mechanisms
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Performance benchmarks
Speaker:
Nick Durkin: Possesses over ten years of data center architecture knowledge combined with a wealth of certified training, Nick also owns over three years of Hadoop and Big Data experience, architecting systems and building big data applications for not only the Federal government but also the world’s largest financial institutions.
Nick has held the position of lead architect on the Department of Homeland Security’s FIVICS initiative as well as developed many of the anti-fraud applications currently in use amongst the aforementioned financial institutions.
Utilizing his successful history of innovative design involving data protection, fiscal responsibility, and directive appreciation, Nick continues to develop purposeful solutions tailored to each of his client’s needs.

Streaming and CEP - DataTorrent VS Storm Vs Spark