How quickly do you have to get the result out once the new data is added? How far back in time do you have to look for BBBB from the occurrence of bbbb? Do you have to do this for all combinations of values or is it just a small subset of values?
On 5/21/12 3:01 PM, "Zhiwei Lin" <[EMAIL PROTECTED]> wrote:
I have large volume of stream log data. Each data record contains a time
stamp, which is very important to the analysis.
For example, I have data format like this:
(1) 20:30:21 01/April/2012 AAAAA.............
(2) 20:30:51 01/April/2012 BBBB.............
(3) 21:30:21 01/April/2012 bbbb.............
Moreover, new data comes every few minutes.
I have to calculate the probability of the occurrence "bbbb" given the
occurrence of "BBBB" (where BBBB occurs earlier than bbbb). So, it is
I wonder if Hadoop is the right platform for this job? Is there any
package available for this kind of work?