What is diff between Junk dimensions and conform dimension?
Answers were Sorted based on User's Feedback
Answer / avinash
JUNK DIMENSION
A Dimension which cannot be used to describe the facts is
known as junk dimension(junk dimension provides additional
information to the main dimension)
ex:-customer add
Confirmed Dimension
A dimension table which can be shared by multiple fact tables
is known as Confirmed dimension
Ex:- Time dimension
| Is This Answer Correct ? | 9 Yes | 1 No |
Answer / nagireddy
a junk dimension is dimension but not using for
maping..like its a boolean value.but conform dimesion is
which dimension is shared by two or more than two fact
tables is called conform dimension.and conform dimesin
reduce the no of tables...
| Is This Answer Correct ? | 1 Yes | 0 No |
Junk dimension: This dimension is mainly used for reference
purpose. It contains textual codes and flag variables.
Ex: country_id,Country_name
IND INDIA
Conform dimension: AS Avinash said the dimension table which
is shared by multiple fact tables are called as Conform
Dimension table.
Date,Geography,time etc.
| Is This Answer Correct ? | 1 Yes | 0 No |
Answer / shar
junk dimensions are dimensions that contain miscellaneous data like flags,gender,text values etc that cannot be used for generating reports
Conformed dimension: if a dimension table is shared by multiple fact tables then that table is called as conformed dimension table.
| Is This Answer Correct ? | 0 Yes | 0 No |
how to design the change capture stage in(data stage parallel jobs) type 2
What is the difference between odbc and drs stage?
Describe routines in datastage? Enlist various types of routines.
What are datastage sequences?
What are the types of containers in datastage?
i want send my all duplicate record one tar and all uniq records one target how we will perfome explain example: input data eid 251 251 456 456 951 985 out put/target1 251 251 456 456 out put/target2 951 985 how we will bring
13 Answers Bank Of America, IBM,
What is the difference between operational data stage (ods) and data warehouse?
what is stage is used for below Input columns: dept|mgr|employee|salary Output columns: mgr|count of employee per mgr|avg salary per dept note: each dept has one mgr and each mgr has many employees
where we use column generator stage in real time scenario?
Explain entity, attribute and relationship in datastage?
Converting Vertical PIVOTing without using PIVOT stage in DataStage. Ex: DEPT_NO EMPNAME 10 Subhash 10 Suresh 10 sravs Output: DEPT_NO EMP1 EMP2 EMP3 10 subhash suresh sravs 2) How to implement Horizontal PIVOTing without using PIVOT stage.
What's the Main Function of the Staging area in DWH