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The following page has been changed by udanax: http://wiki.apache.org/lucene-hadoop/Hbase/HbaseArchitecture ------------------------------------------------------------------------------ And then, vertical(column) data set by one of RDF properties can be read fast from Table, because it is column-stored. Please let me know if you don't agree with me. + + === My think. === + + by [wiki:udanax Udanax] [[MailTo(webmaster AT SPAMFREE udanax DOT org)]] + + First I would like to pay my respect to your committment to the Hbase Project and this is my opinion. + [[BR]]Based on the Paper, the picture belows expresses the concept of BigTable when 'T' is the table and Column Families 'A' and its Attribute-values are like the followings. + + [http://mirror.udanax.org/~udanax/rsync1/blog_udanax_org/udanax/280/o_full.jpg] + + BigTable is the storage layer of the sparse matrix data. + [[BR]]And the goal is not Data Selection even though it is very useful feature, but Matrix Computation and Aggregation. + + Then, I think architecture need to be like this + + * Data Storage Conceptual + * Data Distribution + * Segment Format + * Data Management Tools + * Parallel Matrix Computation, Parallel Aggregation Engine + * Parallel Analysis Interface + * Example + * Benefits, Benchmark Report / Discussion + + and theses are the major component list I think architecture need to have + [[BR]]So, I would like to discuss the arhcitecture of Hbase with you in detail. + +
