From Source to Visualization: Importing Datasets From SQL Server In Power BI Made Easy

Introduction

This blog will provide a detailed guide on how to import data from SQL database files into Power BI, the industry-leading business intelligence tool developed by Microsoft. SQL databases are extensively utilized for data storage and management, and the ability to import data from these files into Power BI empowers users to take advantage of the platform's advanced data visualization and analysis capabilities. By following the step-by-step instructions outlined in this blog, you will gain the knowledge and skills required to extract valuable insights from your data using Power BI.

·         This blog will focus on the process of importing data from different sources, such as SQL Server.

How To Import Data Sets from SSMS Database ?

Step 1: Launch Power BI Desktop: Begin by launching Power BI Desktop, the Windows application designed for creating reports and visualizations.

Step 2: Click on "Get Data": On the Home tab of Power BI Desktop, locate and click on the "Get Data" button. A drop-down menu will appear with various data source options.


Step 3: Select "SQL Server" as the Data Source: In the "Get Data" menu, scroll down or search for the "SQL Server" option and click on it. This will open the SQL Server connection window.



Step 4: Specify Server Details: In the SQL Server connection window, enter the necessary details to connect to your SQL database file. Provide the server name, database name, and authentication method (Windows or database credentials).


·         Choose the server name from the Connect to Server pop-up in SSMS.

(Note: In this scenario, we will be importing a database from the local system using SSMS (SQL Server Management Studio))



  • Insert the server name into the SQL Server database pop-up window within Power BI.




Step 5: Choose Import: In the SQL Server connection window, you have the option to choose importing the data. Importing the data brings a copy of the data into Power BI, while DirectQuery establishes a live connection to the SQL database file. Select the appropriate option based on your requirements.


Step 6: Advanced Options (Optional): If needed, you can click on the "Advanced options" button to further customize the connection settings, including selecting specific tables or views to import, configuring SQL statement filters, and defining privacy levels(refer blog no.4).

 

Step 7: Connect and Load Data: Once you have provided all the necessary information and configured the connection settings, click on the "Connect" button to establish the connection to the SQL database file. Power BI will retrieve the metadata and display a preview of the available tables or views. Select the desired tables or views and click on the "Load" button to load the data into Power BI.



Step 8: Data Transformation (Optional (refer blog no.4)): If you need to perform any data transformation or cleaning before importing the data into Power BI, you can utilize the Power Query Editor. Click on the "Edit" button to launch the Power Query Editor, where you can apply various transformations such as filtering, grouping, adding calculated columns, and more.

 

Step 9: Data Visualization: With the data from the SQL database file imported into Power BI, you can now unleash the full potential of data visualization. Utilize Power BI's intuitive drag-and-drop interface to create dynamic charts, graphs, maps, and other visual elements to gain meaningful insights from your data.


Step 10: Refreshing Data: Power BI allows you to establish a connection between the SQL database file and your Power BI report, enabling you to refresh the data as needed. Any changes made to the database file will automatically reflect in your Power BI report when you refresh the data.


Conclusion

Importing data from SQL database files into Power BI provides a powerful platform for data analysis and visualization. By following the step-by-step guide outlined above, you can seamlessly import your SQL database file into Power BI Desktop, perform data transformations if required, and create insightful reports to unlock valuable insights. With Power BI's extensive features, you can make data-driven decisions and drive business success.

Remember, the process of importing data from SQL database files in Power BI remains consistent, allowing you to replicate the steps for importing