What is on the last step when connecting Fivetran to receive ingested data?

Creating an endpoint in Databricks is essential for establishing a connection between Fivetran and your Databricks environment. This final step ensures that Fivetran can direct the ingested data to the correct location in Databricks, allowing for seamless data integration and access.

Setting up an endpoint typically involves specifying where the data should be sent and how it can be accessed within Databricks, thus enabling you to run analyses or create visualizations based on the ingested data. This is a critical part of the data pipeline process, as it solidifies the connection between the data source and the analytics platform.

The other options do not play a role in ensuring a successful data ingestion setup. Publishing a Fivetran dashboard and downloading data files may be part of post-ingestion activities but do not represent the necessary infrastructure to facilitate data flow from Fivetran into Databricks. Ignoring the data destination setup would lead to failure in data transfer, making it an inappropriate action when connecting these services. Establishing the right connection point is fundamental to ensure the workflow runs smoothly from the start to the end of data ingestion.