Big_DATA_Tools
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Glen Cowan, Royal Holloway, University of London, phone: (01784) 44 3452, e-mail: g.cowan@rhul.ac.uk Time & Place: The lectures take place at UCL, Mondays 3:00 to 6:00, starting on 1 October, UCL Physics/Union Building D103. this is on the first floor of Union (see the map here, ref. D1). The first two to three weeks are a crash course in C++.
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Hadoop
hadoop
Hadoop
hadoop
mapreduce
haloop - Project Hosting on Google Code
Why do we develop the HaLoop project? The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing platforms. MapReduce and Dryad are two popular platforms in which the dataflow takes the form of a directed acyclic graph of operators. However, these new platforms do not have built-in support for iterative programs, which arise naturally in many applications including data mining, web ranking, graph processing, model fitting, and so on. What is HaLoop?
What is CouchDB? CouchDB is an open source document-oriented database-management system, accessible using a RESTful JavaScript Object Notation (JSON) API. The term "Couch" is an acronym for "Cluster Of Unreliable Commodity Hardware," reflecting the goal of CouchDB being extremely scalable, offering high availability and reliability, even while running on hardware that is typically prone to failure. CouchDB was originally written in C++, but in April 2008, the project moved to the Erlang OTP platform for its emphasis on fault tolerance.