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HDFS

Google file system
Features
• Seamless integration with Hadoop
• Distributed operation
– Fault tolerance
– Load balancing
– Easily add/remove...
When should I use ?
• Not for all problems
• Hundreds of millions or billions or rows
• Live without extra features provid...
History
•
•
•
•

2006: BigTable paper published by Google.
2006 (end of year): HBase development starts.
2008: HBase becom...
http://hortonworks.com/hadoop/pig/
http://hortonworks.com/hadoop/hbase/
http://pig.apache.org
http://hbase.apache.org
slideshare.net/jefersonm

twitter.com/jefersonm

github.com/jefersonm
Apache HBase
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Apache HBase

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Transcript of "Apache HBase"

  1. 1. HDFS Google file system
  2. 2. Features • Seamless integration with Hadoop • Distributed operation – Fault tolerance – Load balancing – Easily add/remove nodes • Non-technical reasons – Large community – Large scale online user cases
  3. 3. When should I use ? • Not for all problems • Hundreds of millions or billions or rows • Live without extra features provided by RDBMS (typed columns, secondary indexes, transactions) • Enough hardware
  4. 4. History • • • • 2006: BigTable paper published by Google. 2006 (end of year): HBase development starts. 2008: HBase becomes Hadoop sub-project. 2010: HBase becomes Apache top-level project.
  5. 5. http://hortonworks.com/hadoop/pig/ http://hortonworks.com/hadoop/hbase/ http://pig.apache.org http://hbase.apache.org
  6. 6. slideshare.net/jefersonm twitter.com/jefersonm github.com/jefersonm
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