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Why Spark Is the Next Top (Compute) Model
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| by Dean Wampler Follow 2 Followers on Dec 15, 2014 |

Dean Wampler argues that Spark/Scala is a better data processing engine than MapReduce/Java because tools inspired by mathematics, such as FP, are ideal tools for working with data.

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Dean Wampler is a Big Data Architect at Typesafe, specialized in Scala, Big Data technologies, FP and Agile practices. His OS projects include Stampede, *nix, Aquarium, AOP for Ruby, Contract4J, and others. He authored or co-authored "Functional Programming for Java Developers", "Programming Scala" (with Alex Payne), and "Programming Hive" (with Ed Capriolo and Jason Rutherglen).

This one-day event focused on practical business applications of Hadoop and technologies in the Hadoop ecosystem. Industry thought leaders shared emerging trends and best practices with users and developers to deliver valuable insights from some of today's most successful Hadoop deployments.

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