Table of Contents

Search

  1. Introduction
  2. Configuring Hub Console Tools
  3. Building the Data Model
  4. Configuring the Data Flow
  5. Executing Informatica MDM Hub Processes
  6. Configuring Application Access
  7. MDM Hub Properties
  8. Viewing Configuration Details
  9. Search with Solr
  10. Row-level Locking
  11. MDM Hub Logging
  12. Table Partitioning
  13. Collecting MDM Environment Information with the Product Usage Toolkit
  14. Glossary

Informatica Data Quality Batch Jobs and Column Mappings

Informatica Data Quality Batch Jobs and Column Mappings

You can use Informatica Data Quality batch jobs to process Informatica MDM master records. To use Informatica Data Quality batch jobs, all the columns that you want to map from the landing table must go through the same Data Quality function. The columns can be cleansed within the function or pass through the function unchanged.
If the mapping does not pass all inputs through a single Data Quality function, you cannot use Informatica Data Quality batch jobs. Instead, Informatica Data Quality processes the records one at a time.
For example, let's say that you want to construct a primary key from multiple columns in the landing table. You create a mapping, add a Data Quality function, and then add all the columns that you want to map from the landing table to the staging table. Within the Data Quality function, you add a function to concatenate the columns for the primary key, and map the output of the concatenate function to the PKEY_SRC_OBJECT column. For the remaining columns, you can use other functions or pass through the columns unchanged.
The following diagram shows the Data Quality function with all the required inputs and the mapped outputs:
Inputs to the function include all columns from the landing table that we need to map. Outputs include the output from the concatenate function and pass-through mappings.
If you enable hard delete detection on the staging table, specify the columns that you used to construct the primary key in the hard delete detection table.

0 COMMENTS

We’d like to hear from you!