- Dataprep by Trifacta® Enterprise Edition
- Dataprep by Trifacta Professional Edition
- Dataprep by Trifacta Premium
- Dataprep by Trifacta Standard
This section describes how you interact with your databases through Dataprep by Trifacta®.
- Specific versions of each database are supported.
- Connections must be enabled and configured for each type of supported database.
- See Connection Types.
Before You Begin
Read Access: Your database administrator must configure read permissions to the appropriate databases, tables and views for your use.
- Write Access: Some relational connection types support write access. For more information, see Connection Types.
Database access is managed through connections.
- Individual users can create private connections through the application. See Create Connection Window.
Storing Data in Relational Databases
NOTE: Dataprep by Trifacta does not modify source data nor store transformed data in the relational systems. Datasets sourced from database tables or views are read without modification from their source locations.
Reading from Database Tables and Views
You can create a Trifacta dataset from a table or view stored in a connected database.
Tip: In some scenarios, you can improve performance of loading from database tables by creating a view on the table to restrict the amount of data loaded to only the required fields. Additional, you can pre-filter the dataset using custom SQL statements. See Create Dataset with SQL.
Additional Notes on Database Views
- Some metadata, such as row counts, is not available for database views.
- For complex view definitions that require significant processing on the database, there may be a significant delay when previewing the contents of those views. In some cases, the preview may time out waiting for the database to respond with the view contents.
For more information, see Database Browser.
Running Jobs from Database Sources
NOTE: When executing a job using a relational source, the job may fail if one or more columns has been dropped from the underlying source table. As a workaround, the recipe panel may show steps referencing the missing columns, which be used to fix to either fix the recipe or the source data.
Writing to Databases
Relational connections can be configured to support writing results back to the database.
NOTE: You can only write to databases from the Run Job page. You cannot ad-hoc publish to a relational database.
NOTE: When writing to a new table in a relational target, the first entry in any mapping is used for writing out the value. Subsequent entries in the mapping are used for validation only on writing to new tables.
Natively supported connection types are automatically enabled for writeback.
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