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Among other things, Konstantin was the lead developer and committer for the Apache Hadoop Framework project.
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Aptly named the Intel Distribution for Apache Hadoop, the distribution includes several Intel contributed enhancements that it claims will improve performance and security.
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Intel also announced its proprietary Intel Manager for Apache Hadoop software.
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This type of programming is based on a set of Java APIs, although new technology in the latest version of Apache Hadoop, called YARN, allows other languages to be used.
FORBES: Why Adopting the Declarative Programming Practices Will Improve Your Return from Technology
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Apache Hadoop is a classic example of this paradigm.
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New Big Data tools leveraging technology such as Apache Hadoop can process and analyze high volumes of data at reasonable costs, creating business intelligence that companies can use for competitive advantage.
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The Cascalog system has combined the Cascading system for abstraction of advanced data processing on Hadoop and other systems, the Datalog declarative programming language that is well suited for expressing database queries in an abstract form, and the Clojure language to create a declarative language for queries that can be run on Apache Hadoop.
FORBES: Why Adopting the Declarative Programming Practices Will Improve Your Return from Technology
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But now the question becomes different: Is the Hadoop Apache Project with its three heads the only way to create that capability?
FORBES: Can Hadoop Survive its Weird Beginning?
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Built on top of LucidWorks Search, LucidWorks Big Data certifies and integrates all of the Apache open source components necessary to develop and manage a big data application, including Hadoop, Mahout, HBase, Zookeeper, Pig, and other software tools.
FORBES: LucidWorks: Bringing Search to Big Data