Answer Posted / badhrinath r
look up stage performs the same action as merge and join
stages do. But here we have a table as lookup table which
will be having a key column with the source table. if the
key colums in source are matched with the lookup table, that
rows will only be passed to output. Others can be taken in
reject.
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What is the flow of loading data into fact & dimensional tables?
project Steps,hits, Project level HArd things,Solved methods?
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disign the complex job in u r project?(they are aksing only complex job design and then data flow...)
What is a datastage job?
What are the benefits of datastage?
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:
hi.... am facing typical problem in every interview " I need some critical scenarios faced in real time" plz help me guys
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