Power BI offers a wide range of data connectors that allow users to connect to various data sources. Here are some of the most commonly used data connections in Power BI:
1. File-based Data Sources:
- Excel: Connect to local or cloud-based Excel files (.xlsx) to import data.
- CSV: Import data from comma-separated values (CSV) files.
- XML: Extract data from XML files.
- JSON: Connect to and import data from JSON files.
2. Relational Databases:
- SQL Server: Connect to on-premises or cloud-based SQL Server databases.
- Oracle: Connect to Oracle databases.
- MySQL: Connect to MySQL databases.
- PostgreSQL: Connect to PostgreSQL databases.
- IBM DB2: Connect to IBM DB2 databases.
- Azure SQL Database: Connect to Microsoft Azure SQL Database.
3. Cloud-based Data Platforms:
- Azure SQL Data Warehouse: Connect to Azure SQL Data Warehouse.
- Azure Data Lake Storage: Connect to Azure Data Lake Storage Gen1 and Gen2.
- Amazon Redshift: Connect to Amazon Redshift data warehouses.
- Google BigQuery: Connect to Google BigQuery data warehouses.
4. Online Services:
- SharePoint Online: Extract data from SharePoint Online lists and libraries.
- Dynamics 365: Connect to Microsoft Dynamics 365.
- Salesforce: Import data from Salesforce CRM.
- Google Analytics: Connect to Google Analytics accounts.
- Adobe Analytics: Connect to Adobe Analytics.
5. Other Data Sources:
- Web: Connect to web pages or APIs using HTML or JSON statements.
- OData Feed: Access data from RESTful web services that expose OData endpoints.
- Hadoop File (HDFS): Connect to data stored in Hadoop Distributed File System (HDFS).
- R Script: Utilize R expressions or scripts to import and transform data.
- SharePoint List: Connect to SharePoint lists and extract data.
In addition to these commonly used data connections, there are also specific connectors available for social media platforms, cloud storage services, on-premises data gateways, and more. Power BI continues to expand its range of data connectors to accommodate the evolving data landscape and ensure seamless data integration for users.
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