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The following page has been changed by udanax: http://wiki.apache.org/lucene-hadoop/udanax ------------------------------------------------------------------------------ == Udanax == + * Who : Edward yoon AT NHN,Inc. + * Master of mathematics. - I have just started writing code for linear algebraic computation on Hadoop + Hbase based parallel machines.[[BR]] - I think It will makes the hadoop an even better platform for scientific and advanced analytics programming. - - ~+[wiki:HbaseShell HbaseShell]+~ - - ---- - - * Who : (Edward yoon) Distributed Computing & Open Collaboration Team AT NHN,Inc. * E-mail : [mailto:[EMAIL PROTECTED] webmaster AT SPAMFREE udanax DOT org] - * My Homepage : http://www.udanax.org - * Hadoop Korean User Group : http://www.hadoop.co.kr * My Blog : http://blog.udanax.org/udanax - ---- - - '''What is BigTable?''' - - BigTable is a multi-dimensional, sparse map storage with its focus on DFSâs 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 companyâs data by providing more availability and usability when the companyâs needs arise. - - - '''An usage example of BigTable â 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://mirror.udanax.org/~udanax/rsync1/blog_udanax_org/udanax/280/o_2.png] - - 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 blogâs 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. -
