Welcome to Hadoop!
Popularity Report
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URL Tag Cloud
Bookmark History
Saved by 47 people (-8 private), first by anonymouse user on 2006-07-26
- Donaldkal on 2009-10-15 - Tags From , Internet , Explorer
- Marcuhlig on 2008-03-21 - Tags apache , apps , data , filesystem , mapreduce
- Joergkurtwegner on 2007-12-30 - Tags algorithm , distributed_computing , mapreduce , apache , hadoop , java , lucene , cluster , computer_science , clustering
- Thebadpete on 2007-12-17 - Tags programming , computing
- Joel on 2007-12-16 - Tags hadoop , mapreduce
Public Sticky notes
# 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.
Highlighted by greenup
# 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.
Highlighted by greenup
ty, placing them on
compute nodes around the cluster. MapReduce can then process th
Highlighted by pmckinstry
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