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  1. Version 10.1.1
  2. Version 10.1
  3. Version 10.0
  4. Version 9.6.1
  5. Version 9.6.0

Profiles

This section describes new Developer tool features for profiles and scorecards.
Effective in version 10.1, you can create a column profile on an Avro or Parquet data source in HDFS.
For more information about column profiles on Avro and Parquet data sources, see the "Column Profiles on Semi-structured Data Sources" chapter in the
Informatica 10.1 Data Discovery Guide
.
Effective in version 10.1, you can select a minimum number of conforming rows as conformance criteria for data domain discovery.
For more information about conformance criteria, see the "Data Domain Discovery in Informatica Developer" chapter in the
Informatica 10.1 Data Discovery Guide
.
Effective in version 10.1, you can exclude null values from the data set when you perform data domain discovery on a data source. When you select the minimum percentage of rows with the exclude null values option, the conformance percentage is the ratio of number of matching rows divided by the total number of rows excluding the null values in the column.
For more information about exclude null values from data domain discovery option, see the "Data Domain Discovery in Informatica Developer" chapter in the
Informatica 10.1 Data Discovery Guide
.
Effective in version 10.1, you can choose the Hadoop option as the run-time environment when you create or edit a column profile, data domain discovery profile, enterprise discovery profile, or scorecard. When you choose the Hadoop option, the Data Integration Service pushes the profile logic to the Blaze engine on the Hadoop cluster to run profiles.
For more information about run-time environment, see the "Data Object Profiles" chapter in the
Informatica 10.1 Data Discovery Guide
.


Updated April 09, 2019