Hi all, i am new to this site and new to Informatica too. I
have few questions regarding that.
1) When we load flat files into target tables how do we
identify duplicates? and where do load the duplicate
records for further reference?
2) How do we do chage data capture? Is this Slowly changing
Dimension technique?


Thanks in Advance

Answer Posted / srinu

--When we load flat files into target tables how do we
identify duplicates?

I have a idea after sql transformation go thruogh 2 Agg
Trans,2 Router Trans
Agg1-gorup by col count=1 to router trans
Agg2-group by col count<>1 to router trans
(I think “it will help u” Any ,,,Let me know,,
srinu.srinuvas@gmail.com)


--where do load the duplicate records for further
reference?

From 2nd router Transfromation we have a Separate Target
Table.

--How do we do chage data capture? Is this Slowly changing
Dimension technique?
chage data capture(CDC) Mean newly Inserts, Updates
Based on Data loading time,,

This Inserts, Updates only Slowly changing Dimension
technique.

Is This Answer Correct ?    3 Yes 0 No



Post New Answer       View All Answers


Please Help Members By Posting Answers For Below Questions

How to load the data from a flat file into the target where the source flat file name changes daily?

572


What are the different components of powercenter?

579


What are the databases that informatica can connect to windows?

576


What is deployment group?

681


update strategy transformation in informatica

639






What is an aggregator transformation?

615


What is primary and backup node?

693


What is joiner transformation?

584


Make a note of the quantity vaults made in informatica?

552


Scheduling properties,whats the default (sequential)

1461


What is meant by pre and post session shell command?

620


How can we improve session performance in aggregator transformation?

671


can u give example for factless fact table

5515


rank() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid order by case when opt2.dm_market_flg in ('Y', 'U') then 1 else 2 end, lkp.contact_rank) as rank1, case opt2.contact_type when 'Buyer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, ship_to_flg desc , last_order_dt desc) when 'Decision Maker' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc , last_quote_dt desc , mailability_score desc , source_ranking desc) when 'Influencer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) when 'Payer' then row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) --elu 05/28/2013 else row_number() over (partition by opt2.dim_plat_site_id, opt2.dim_site_opt_sid, lkp.contact_rank order by has_name_flg desc, mailability_score desc, source_ranking desc) end rank2 row_number() over (partition by opt3.dim_plat_site_id, opt3.dim_site_opt_sid order by rank1,rank2) as "rank", case when "rank"<= opt3.maximum_value then 'Y' else 'N' end as include_flg

1527


Explain informatica architecture - version 8 / 9

666