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From Apache Wiki <wikidi...@apache.org>
Subject [Lucene-hadoop Wiki] Trivial Update of "udanax" by udanax
Date Thu, 15 Mar 2007 11:56:11 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Lucene-hadoop Wiki" for change notification.

The following page has been changed by udanax:
http://wiki.apache.org/lucene-hadoop/udanax

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   * My Blog : http://blog.udanax.org/udanax
  
  ----
- CategoryHomepage
  
+ '''What is BigTable?'''
+ 
+ BigTable is a multi-dimensional, sparse map storage with its focus on DFS’s massive data
storage and easier data analysis and development. It could also be defined as a distributed
database that is more economical than traditional large databases that allows faster analysis
on more diverse data. It does not manage every pre-calculation but it stores data in a distributed
way with a structure that allows distributed computation. 
+ 
+ 
+ '''Why do we need it?'''
+ 
+  * The amount of data is enormous and it grows exponentially. On top of the simple storage
needs, we would like to do some data analysis as well. 
+  * We want our DB to be light-weight. We want our DB to adopt to the ever-changing needs
and requirements of new services.
+ 
+ '''Conclusion''' : We want to extract more value out of a company’s data by providing
more availability and usability when the company’s needs arise.
+ 
+ 
+ '''An usage example of BigTable – User action log data table for a service'''
+ 
+ To help make a business decision, to find a way to meet the need of each customer, or to
find a product or a market that will bring big profits, we group together action logs of users
and create a User Table like the one below. 
+ 
+ '''''row [ user ], attribute columns [ search history, item buying log, post scrap log,
Page Viewing log, User neighborhood (blog), User active part (cafe) ]'''''
+ 
+ If we select two columns, the fact table in the above schema can be represented in a two-dimensional
table.
+ [[BR]](Analysis Framework)
+ 
+ [http://www.hadoop.co.kr/mywiki/moin.cgi/Chameleon?action=AttachFile&do=get&target=Figure1.gif]
+ 
+ Who referred to document A?. What other documents do they also like?. What does a user who
actively participates in a online community X like to search?. Who are the neighbors of this
blog’s author?. What are social distances between them? 
+ 
+ By finding out where new markets are being formed by managing and analyzing those user-related
data, we can analyze the evolution of services faster and more economically. 
+ 

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