if i have one mapping and we already tuned that mapping for performance,everything is fine and loading will take 1 hr,so without doing any change in mapping how could we reduce the loading time from 1hr to 1/2 hr.
Answers were Sorted based on User's Feedback
Answer / sony_infa
use session partition to improve the performance.
| Is This Answer Correct ? | 1 Yes | 0 No |
if we do the performance optimization we can achieve the task i think (ie we can reduce the time of loading the data into target)
if my answer is wrong please let me know the write answer
| Is This Answer Correct ? | 1 Yes | 1 No |
Answer / sony_infa
using session partition we can improve the performance.
| Is This Answer Correct ? | 0 Yes | 0 No |
Answer / subhransu panda
Using session partition we can reduce the time.
Because at a time the parallel pipeline created in session partition will process the incoming data ,by distributing the data in equal nos among the parallel pipelines.
| Is This Answer Correct ? | 0 Yes | 0 No |
I have scenario, i have 10 worklflows and i want run the 1st workflow first and immediately i want to run 10th workflow has to run and am not bothering of 2 to 9 workflows? can any one help me how to do this? Thanks in advance.....
wt is inline view? when and why we Use ?mail to rayallarv@gmail.com
What is the cumulative sum and moving sum?
I've a denormalized table EMP(empno,ename,phone,addr1,addr2,fax,email). Now I want to insert the record into target in the format that, there will be 2 target rows for 1 source record. In target the row needs to be inserted as: ROW1: empno,ename,addr1,phone ROW2: empno,ename,addr2,fax,email And I'm not allowed to normalize transformation. How to achieve?
what is materialized view?
WHat all joins are there in Source Qualifier?
What are the designer tools for creating tranformations?
Explain Dataware house architecture .how data flow from intial to end?
What are the uses of a Parameter file?
What are the diffrences between joiner transformation and source qualifier transformation?
while creating the scd mappings. we will mention flag value. what exactly the use of defining the FLAG VALUE. Please explaine indetaile
Explain what are the different types of transformation available in informatica.