Golgappa.net | Golgappa.org | BagIndia.net | BodyIndia.Com | CabIndia.net | CarsBikes.net | CarsBikes.org | CashIndia.net | ConsumerIndia.net | CookingIndia.net | DataIndia.net | DealIndia.net | EmailIndia.net | FirstTablet.com | FirstTourist.com | ForsaleIndia.net | IndiaBody.Com | IndiaCab.net | IndiaCash.net | IndiaModel.net | KidForum.net | OfficeIndia.net | PaysIndia.com | RestaurantIndia.net | RestaurantsIndia.net | SaleForum.net | SellForum.net | SoldIndia.com | StarIndia.net | TomatoCab.com | TomatoCabs.com | TownIndia.com
Interested to Buy Any Domain ? << Click Here >> for more details...


In which situations we can use normal and sparse lookup
stages

Answers were Sorted based on User's Feedback



In which situations we can use normal and sparse lookup stages..

Answer / nandini

Normal lookup:- U r having 90% data in primary like(source
table) and 10% data of Refference link(lookup table)in kind
of sutivation we can use normal lookup.and the normal
lookup data can stores in the temprovary memory.

Sparse lookup:-U r having 10% data in primary like(source
table) and 90% data of Refference link(lookup table)in kind
of sutivation we can use sparse lookup.and the sparse
lookup data can not stores in the temprovary memory because
it s having the huge data.

Is This Answer Correct ?    17 Yes 0 No

In which situations we can use normal and sparse lookup stages..

Answer / poornachandrababu.l

When the reference is database then we will go for Sparse
look and If reference is Sequential file or DataSet then
we go for normal look up

Is This Answer Correct ?    6 Yes 5 No

In which situations we can use normal and sparse lookup stages..

Answer / subbuchamala

Normal lookup:-
If we have 90% data in primary like(source
table) and 10% data of Refference link(lookup table)in kind
of sutivation we can use normal lookup.and the normal
lookup data can stores in the temporary memory(RAM).

Sparse lookup:-
If we have 10% data in primary like(source
table) and 90% data of Refference link(lookup table)in kind
of sutivation we can use sparse lookup.and the sparse
lookup data can not stores in the temporary memory because
Refernce will have Huge data and for record(KEY Columns) from Source it will go to Reference Database and get the Output of it.

Is This Answer Correct ?    1 Yes 0 No

In which situations we can use normal and sparse lookup stages..

Answer / subbuchamala

Sparse LookUp:
for each source value, It will go refernce Database and get the Output.

Normal lookup:- 90% data in primary like(source
table) and 10% data of Refference link(lookup table)then we can use normal lookup.and the normal
lookup data uses in the temporary memory(RAM).

Sparse lookup:- 10% data in primary like(source
table) and 90% data of Refference link(lookup table)then we can use sparse lookup.

Is This Answer Correct ?    1 Yes 0 No

Post New Answer

More Data Stage Interview Questions

Explain datastage architecture?

0 Answers  


Source Like department_no, employee_name ---------------------------- 20, R 10, A 10, D 20, P 10, B 10, C 20, Q 20, S and Output should be like this department_no, employee_list -------------------------------- 10, A 10, A,B 10, A,B,C 10, A,B,C,D 20, A,B,C,D,P 20, A,B,C,D,P,Q 20, A,B,C,D,P,Q,R 20, A,B,C,D,P,Q,R,S

3 Answers  


How can we achive parallelism

1 Answers   CTS,


CAN WE DECLARE DATASET SET WITH OTHER THAN .DS EXTENTION OR NOT IF YES WHAT IS THE DIFFERENCE U FIND?IF NOT WHY?

2 Answers  


On which interface you will be working as a developer?

0 Answers  


Hai..,This is Kiran M. What is D/B Change Capture stage and Difference stage?

2 Answers  


input like 2 7 8 9 5 1 7 3 6 output:2 5 6 how to find out this plz explain?

2 Answers   HSBC,


What is the difference between validate and compile?

1 Answers   CTS,


What are some prerequisites for datastage?

0 Answers  


What are the areas of application?

0 Answers  


Explain the datastage parallel extender (px) or enterprise edition (ee)?

0 Answers  


What is the purpose of pivot stage and types of containers in datastage

0 Answers  


Categories