7)Power BI data connections

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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