Infoworks 5.4.1
Prepare Data

Exporting Data to Teradata

Infoworks supports Teradata as a target in data transformation pipeline.

NOTE This node is compatible only with Spark execution engine.

Setting Teradata Target Properties

Following are the steps to use Teradata target in pipeline:

  1. Double-click the Teradata Table node. The properties page is displayed.
  2. Click Edit Properties, and set the following fields:
FieldDescription
Build Mode

The build mode to overwrite, append, and merge data. Select Overwrite to drop and recreate the target, Append to append data to the existing target, or Merge to merge data to the existing table based on the natural key.

NOTE: The merge mode will not be supported for column-partitioned target table.

Data ConnectionThe data connection to be used by the Teradata target. For more details, see Setting Teradata Data Connection.
Database NameThe database name of an existing database in Teradata.
Table NameThe name of the Teradata target table.
Natural KeysThe key (combination of columns) to identify a row uniquely in the data. Select the required natural keys for the Teradata target.
Is Existing TableWhen enabled, the existing table behavior works as an external table to Infoworks. The table will not be created/dropped or managed by Infoworks.
Target Table TypeSelect a SET table or a MULTISET. A SET table does not allow duplicate values in the table, while a MULTISET table allows duplicate values.
Partition TypeThe option to partition the target table based on the Range_N condition. The options include Range_N and None.
Partition ColumnThe column used to partition the data in the target. Only Datetime and Timestamp columns are supported to be partitioned. This option is displayed only for Range_N Partition Type.
Partition StartThe start value for the partition Range_N condition.
Partition EndThe end value for the partition Range_N condition.
Interval ValueThe interval period value for the Range_N partition.
Interval PeriodThe interval period for the Range_N partition, which can be day, month, or year.
Indexing ColumnsThe primary index column for the target table to be created.
Unique IndexThe option to set the primary index column values as unique.
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