What r the mapings that we use for slowly changing dimension table?
Type1: Rows containing changes to existing dimensions are updated in the target by overwriting the existing dimension. In the Type 1 Dimension mapping, all rows contain current dimension data. Use the Type 1 Dimension mapping to update a slowly changing dimension table when you do not need to keep any previous versions of dimensions in the table.
Type 2: The Type 2 Dimension Data mapping inserts both new and changed dimensions into the target. Changes are tracked in the target table by versioning the primary key and creating a version number for each dimension in the table. Use the Type 2 Dimension/Version Data mapping to update a slowly changing dimension table when you want to keep a full history of dimension data in the table. Version numbers and versioned primary keys track the order of changes to each dimension.
Type 3: The Type 3 Dimension mapping filters source rows based on user-defined comparisons and inserts only those found to be new dimensions to the target. Rows containing changes to existing dimensions are updated in the target. When updating an existing dimension, the Informatica Server saves existing data in different columns of the same row and replaces the existing data with the updates
RE: What r the mapings that we use for slowly changing...
Type1: Rows containing changes to existing dimensions are updated in the target by overwriting the existing dimension. In the Type 1 Dimension mapping all rows contain current dimension data. Use the Type 1 Dimension mapping to update a slowly changing dimension table when you do not need to keep any previous versions of dimensions in the table. Type 2: The Type 2 Dimension Data mapping inserts both new and changed dimensions into the target. Changes are tracked in the target table by versioning the primary key and creating a version number for each dimension in the table. Use the Type 2 Dimension/Version Data mapping to update a slowly changing dimension table when you want to keep a full history of dimension data in the table. Version numbers and versioned primary keys track the order of changes to each dimension. Type 3: The Type 3 Dimension mapping filters source rows based on user-defined comparisons and inserts only those found to be new dimensions to the target. Rows containing changes to existing dimensions are updated in the target.
RE: What r the mapings that we use for slowly changing...
SCD:
Source to SQ - 1 mapping
SQ to LKP - 2 mapping
SQ_LKP to EXP - 3 Mapping
EXP to FTR - 4 Mapping
FTR to UPD - 5 Mapping
UPD to TGT - 6 Mapping
SQGen to TGT - 7 Mapping.
I think these are the 7 mapping used for SCD in general; For type 1: The mapping will be doubled that is one for insert and other for update and total as 14. For type 2 : The mapping will be increased thrice one for insert 2nd for update and 3 to keep the old one. (here the history stores) For type three : It will be doubled for insert one row and also to insert one column to keep the previous data.
