Connecting to DockHealth
This guide covers the steps to seamlessly connect DockHealth with skyData, including setup, configurations, and best practices. Dock Health is a HIPAA-compliant platform designed to streamline healthcare operations through efficient task management and workflow automation. It enables healthcare teams to securely capture, assign, and track both clinical and administrative tasks, fostering collaboration and accountability. Key features include robust task management, workflow automation, seamless team communication tools, and strong compliance with HIPAA regulations. skyData Platform (AIP) integrates with DockHealth via an inbuilt connector, automating the secure processing of daily CSV files from SFTP sites, ensuring reliable data ingestion, transformation, and storage into platforms like Databricks, enhancing operational efficiency and data accuracy.Prerequisite
You need the following details to configure and import data using the DockHealth⇗ connector:- Host
- Username
- Private Key
- Directory
To import data using the DockHealth connector
Follow the below steps to create and configure a new dataflow for the DockHealth import connector:- Navigate to Dataflow > Imports.

- Click New dataflow as indicated by an arrow.

- Enter the desired name for the dataflow in the Name text field.
- Click Next to proceed.

Add DockHealth connector
- On the Choose Connector page, use the Search feature to locate and select the DockHealth Connector.
- Enter the Display Name for your dataflow in the provided text field.
- Optionally, add a Description in the designated text area.

- Click Next to proceed.

Connect to the DockHealth account
- Fill in the required details on the Configuration page.
- Click Connect.

- Scroll down to the Table Details section, select the checkboxes for the tables you wish to import, and use the dropdown menu to label them as either Data or Metadata.

By default, all tables in the Table Details section are selected. You can choose to import only specific tables that are relevant to your data processing needs. For example, to import customer data, select tables containing details like name, email, address, and contact information.
- Click Save to apply the changes.

Run, Edit, and Delete the imported data
Once the table is imported, you can execute, modify, and remove the imported table from the Dataflow. Follow the below steps:- Go to the Dataflow > Imports page.

- Select the horizontal ellipsis under the Actions column and do the following:
- Click Run to execute the dataflow. Once the execution is successful, the data pipeline status will update to Completed, as illustrated in the figure below.

In the Dataflow’s Run History Description, you can view error messages related to data import failures from a data source. Additionally, you can check the status, start time, and end time of the data pipeline execution.

