QCon New York 2012 / Storm: Distributed and Fault-Tolerant Realtime Computation
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Description
Storm makes it easy to write and scale complex realtime computations on a cluster of computers, doing for realtime processing what Hadoop did for batch processing. Storm guarantees that every message will be processed. And it’s fast — you can process millions of messages per second with a small cluster. Best of all, you can write Storm topologies using any programming language. Storm was open-sourced by Twitter in September of 2011 and has since been adopted by numerous companies around the world.
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Nathan Marz (nathan.marz)

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2195 USD
Jun 18-20, 2012
Software is changing the world; QCon aims to empower software development by facilitating the spread of knowledge and innovation in the enterprise software development community; to achieve this.
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Course tags
- f# × 13
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- http × 2
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- asp.net × 1
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- beginners,, × 1
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- concurrent × 1
- distributed programming × 1
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- erlang, × 1
- ets × 1
- for, × 1
- haskell × 1
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- pit fw × 1
- scala × 1
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Featured Courses
Learning F# - Basics
Get started with F# quickly and effectively.F# Programming I
Part I of a comprehensive 3-part introduction to the F# programming language.F# Programming II
Part II of a comprehensive 3-part introduction to the F# programming language.F# Programming III
Part III of a comprehensive 3-part introduction to the F# programming language.Understanding Functional Programming
Master functional programming concepts that jumpstart your productivity.Introduction to WebSharper
Learn how to use WebSharper for real-life web applications.
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