Connect PostgreSQL to Power BI

Connect PostgreSQL to Power BI by following three simple steps:

Step 1: Collect data
First, connect your PostgreSQL account. Next, configure the data source settings to your preference:

• Report type. You can select the table or view for easy data retrieval from existing sources or use custom SQL for precise queries from single or multiple PostgreSQL tables.
• Schema. Specify the schema you want to export.
• Table/view. Provide the name of the particular table or view you'd like to load.

After that, proceed to the next step.

Step 2: Organize and transform
Before you load PostgreSQL to Power BI, preview your data to confirm that it's accurate. If you need some data transformations, here's a list of options:

• Edit, rearrange, hide, or add columns.
• Apply various filters and sort your data.
• Create new columns with custom formulas.
• Blend data from multiple accounts or apps.

This way, you make sure that your dataset will be prepared for analysis right after it is imported



When you finish that, go next to configure the destination settings.

Step 3: Load and automate
To finally import data from PostgreSQL to Power BI, follow the in-app instructions to generate the integration URL and paste it into the Power BI desktop application.



Turn on automatic data updates and choose the interval you're comfortable with. Lastly, save and run the importer.

Enable automated refresh to maintain the relevance of your imported data. Choose the frequency of updates, ranging from monthly to intervals as frequent as every 30 or 15 minutes. To further personalize your data refresh, indicate the days of the week, the time slot, and your preferred time zone.



This Coupler.io functionality ensures that your Power BI report consistently aligns with ever-changing source data.