Star Schema vs. Snow Flake Schema. What is the best model
for DW? Give example for both the models performance wise?
Answer Posted / chand
Star Schema is best choice...most of the project use star
schema. performance wise star schema is best.
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1)s.key generate 1 to 700 records today. tomorrow another 400 will updated how to update the records using s.key generator? 2)source is like :-- DB --> T/F stage1 --> seq1file T/f 1 is linking with T/F2 ---> seq 2 how to load the data? in source i given some conditions those r going in seq1. The another data will going to seq2 how to do this ?
Enlist various types of routines in datastage.
What all the types of jobs you developed?
1)How will u implement SCD2 by using surrogate key. 2)What are the disadvantages with surrogate key. 3)How will you handle nulls in your project for the varchar, integer data types. 4)Can I use two fact tables in star schema. 5)3 jobs are running on the 2 nodes after I added one more node so can I compile those jobs to run on three nodes.
How a server job can be converted to a parallel job?
What is the project in datastage?
I have a few records just I want to store data in to targets cycling way how?
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:
Explain the importance of surrogate key in data warehousing?
Lookup constraints
Can we use target hash file as a lookup ?
What is process model?
why do u need the IOS upgradation in a FC switch
How to read multiple files using a single datastage job if files have the same metadata?