After data is ingested to a Data Lakehouse, what happens if the data is structurally modified by a process outside of Infoworks and the metastore records are changed?

Navigate to Admin section of Infoworks UI, and click on external scripts, which shows up pipeline extensions page. Click on Add an extension,and configure it as follows:

To modify the Precision and Scale for a column in the table in the Infoworks source, ensure the source and target data are the same and there are no corrupt/modified values in the target …

Users may observe slow ingestion performance and higher compute costs when ingesting large tables or many tables in a single job. This is often due to the default behavior where ingestion …

This service listens to the changes on the source cluster HDFS, and writes the changes in the Infoworks metastore. The incremental replicator will then replicate the changes after reading it …

Nov 2, 2023 · Please note that only users with an 'Infoworks admin role' have permission to add this configuration. After applying this change, it is essential to retry the data ingestion job with …

Infoworks agile data engineering platform automates the creation and operation of big data workflows from source to consumption, both on premise and in the cloud.

You will need this to trigger the job from the Infoworks Bash node. Part 2: Triggering the Databricks Job from Infoworks Bash Node Step 1: Authentication Using Azure Service …

Step 4: Configure a Custom Role on Infoworks If the default role is not sufficient, you can explicitly pass a different role in the platform configuration: Go to your Snowflake Data Environment …

Creating Tables Click the Source Configuration icon. Create tables. The procedure for creating tables vary according to the database type. See specific ingestion sections for their respective …