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"Ivory is a Hadoop toolkit for web-scale information retrieval research that features a retrieval engine based on Markov Random Fields, appropriately named SMRF (Searching with Markov Random Fields). This open-source project began in Spring 2009 and represents a collaboration between the University of Maryland and Yahoo! Research. Ivory takes full advantage of the Hadoop distributed environment (the MapReduce programming model and the underlying distributed file system) for both indexing and retrieval. The current release of Ivory (release 0.2) works with Hadoop 0.20.1 (and requires certain features only found in that release). Ivory also uses Cloud9, a MapReduce library for Hadoop developed at the University of Maryland (currently also at release 0.2)."

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"Introducing HOP: the Hadoop Online Prototype. With modest changes to the structure of Hadoop, we were able to convert it from a batch-processing system to an interactive, online system that can provide features like “early returns” from big jobs, and continuous data stream processing, while preserving the simple MapReduce programming and fault tolerance models popularized by Google and Hadoop. And by the way, it exposes pipeline parallelism that can even make batch jobs finish faster. This is a project led by Tyson Condie, in collaboration with folks at Berkeley and Yahoo! Research."

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Hadoop Studio is a map-reduce development environment (IDE) based on Netbeans. It makes it easy to create, understand and debug map-reduce applications based on Hadoop, without requiring development-time access to a map-reduce cluster.

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Sqoop (”SQL-to-Hadoop”) is a straightforward command-line tool with the following capabilities:

* Imports individual tables or entire databases to files in HDFS
* Generates Java classes to allow you to interact with your imported data
* Provides the ability to import from SQL databases straight into your Hive data warehouse

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discussion of R for big data processing

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High Performance Computing in Statistics: course notes; uses R running on a cluster

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case study of using hadoop on aws

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Practical MapReduce - (Tom White, Cloudera) video, slides
Introducing Apache Mahout - (Isabel Drost, ASF) video, slides

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Using Hadoop on Amazon's "cloud"

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