Answer Posted / vaibhav bhandeo
Data modelling requires understanding of the requirements.
In general the design of data model can be a snowflake
(Highly normalized) or star schema (partial or not
normalized) which depends on whether you want optimal
utilization of space (Use star schema) or you want a
normalized data model easy to query and acess data (Use
snow flake).
Is This Answer Correct ? | 1 Yes | 0 No |
Post New Answer View All Answers
Differentiate between router and filter transformation?
What is native users?
How to extract the informatica rejected data?
What is resilience time?
Clarify the aggregator change?
What is sorter transformation?
Can informatica load heterogeneous targets from heterogeneous sources?
how lookup transformation is made active in new versions... When to use connected and when to use unconnected lookup and why? which is good for session performance. How to make lookup persistent and how to remove stale data from that lookup. how commit works - when we stop or abort data. Explain in both cases. What is factless fact table and have you ever used it in real time scenarios.
Mention few advantages of router transformation over filter transformation.
what is granularity,what type of granularity we will take in fact tables either lowlevel or highlevel,if two tables having same granularity that is posiable or not
What is workflow monitor?
How can repository reports be accessed without sql or other transformations?
What is persistent lookup cache?
Can you use flat files in Mapplets.
SOURCE DATA IS DISPLAY IN THIS FORMATE IN TARGET . WHAT BUSINESS LOGIC WE CAN APPLY. source table target table ------------ ------------ c1 c2 c3 c1 c2 c3 -- -- -- -- -- -- 1 A J 1 2 B K 2 A 3 C L 3 B J 4 D M 4 C K 5 E N 5 E L F M N