Welcome to Hadoop!
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Saved by 48 people (-12 private), first by anonymouse user on 2008-01-28
- Cinayakoshka on 2009-09-09 - Tags Read , It , Later
- Cdhresearch on 2009-06-07 - Tags cloud technology
- Chingyichan on 2009-06-03 - Tags java , cluster , grid , distributed , mapreduce , hadoop
- Cvelasquezppe on 2009-05-22 - Tags distributed , software
- Shon__ on 2009-04-19 - Tags no_tag
Public Sticky notes
Highlighted by touffik
Hadoop is a software platform that lets one easily write and run applications that process vast amounts of data.
Here's what makes Hadoop especially useful:
- Scalable: Hadoop can reliably store and process petabytes.
- Economical: It distributes the data and processing across clusters of commonly available computers. These clusters can number into the thousands of nodes.
- Efficient: By distributing the data, Hadoop can process it in parallel on the nodes where the data is located. This makes it extremely rapid.
- Reliable: Hadoop automatically maintains multiple copies of data and automatically redeploys computing tasks based on failures.
Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS) (see figure below.) MapReduce divides applications into many small blocks of work. HDFS creates multiple replicas of data blocks for reliability, placing them on compute nodes around the cluster. MapReduce can then process the data where it is located.
Hadoop has been demonstrated on clusters with 2000 nodes. The current design target is 10,000 node clusters.
Highlighted by marcell
Highlighted by tttaohhhan
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