what is advantages of snowflake when it is used?
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Answer / sudhakar
the main disadvantage of snowflake schema is its normalised
format, so performance is poor and it is complex.
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Answer / kishore
snowflake schema has normalized data i.e one dimension table
contains another dimension table like parent table and
child table
we can't get the data from child table directly i.e it
manitains secrecy
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Answer / raja sekhar
this can be used when the project data having the more number of devisions along with sub devision in one particular part of department. and more number of duplicated data is used for the project developmen. eg. pharma projects....
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i hav source like this . deptno,sal 1,2000 2,3000 3,4000 1,2300 4,5000 5,1100 i want target like this target1 1,2000 3,4000 4,5000 target2 2,3000 1,2300 5,1100 with out using transformer
create a job that splits the data in the Jobs.txt file into four output files. You will direct the data to the different output files using constraints. • Job name: JobLevels • Source file: Jobs.txt • Target file 1: LowLevelJobs.txt − min_lvl between 0 and 25 inclusive. − Same column types and headings as Jobs.txt. − Include column names in the first line of the output file. − Job description column should be preceded by the string “Job Title:” and embedded within square brackets. For example, if the job description is “Designer”, the derived value is: “Job Title: [Designer]”. • Target file 2: MidLevelJobs.txt − min_lvl between 26 and 100 inclusive. − Same format and derivations as Target file 1. • Target file 3: HighLevelJobs.txt − min_lvl between 101 and 500 inclusive. − Same format and derivations as Target file 1. • Rejects file: JobRejects.txt − min_lvl is out of range, i.e., below 0 or above 500. − This file has only two columns: job_id and reject_desc. − reject_desc is a variable-length text field, maximum length 100. It should contain a string of the form: “Level out of range: <min_lvl>”, where <min_lvl> is the value in the min_lvl field. My Question is how do you write the stage variable for reject rows.
How a server job can be converted to a parallel job?
I am having two tables called MASTER and DETAIL. I want to insert records to both tables. But one condition is that whenever the insert for MASTER table is success then only the records will inserted into the DETAIL table, otherwise abort the job. How can u design this job?
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