Hi @Ramki
Yes, you can modify a streaming table created by a LakeFlow pipeline, especially when the pipeline is in triggered mode (not running continuously).
In your case, you want to add the following Delta table properties:
TBLPROPERTIES (
'delta.enableIcebergCompatV2' = 'true',
'delta.universalFormat.enabledFormats' = 'iceberg'
)
Since your pipeline is in triggered mode, you can safely alter the target table outside of the pipeline run using a regular SQL command
in a Databricks notebook or SQL editor:
ALTER TABLE <your_table_name>
SET TBLPROPERTIES (
'delta.enableIcebergCompatV2' = 'true',
'delta.universalFormat.enabledFormats' = 'iceberg'
);
LR