Data Flows are used to transform the data provided by a data catalog entry. The data catalog from which to pull data is defined by
the inputDataCatalogEntryId parameter and is then transformed in order by the data flow operations defined by the operations parameter.
Data flows themselves don’t have an explicitly defined schema but can be queried for data or used as a source for a data catalog, similar to
data tables or connections. The schema of data produced is determined by the transformations applied.
The following data flow operations are available:
Remap - "type": "REMAP"
Changes the column names identified by the list of source/destination pairs. This can be used to rename existing columns. The same column
can be remapped into multiple output columns, effectively duplicating it.
Columns that are not defined in the operation will not be included in the output. To include a column without renaming it, you must
set both the source and destination to the original column name.
Multiple sources cannot be mapped to the same destination.
Notice: This endpoint is part of a feature under active development. It may be subject to change in future releases. For more
information, please contact your MindBridge account representative.
