The Data Connector for Power BI allows for secure connectivity with Power BI, as well as the creation and visualisation of data analytics. Data connectors for Power BI allows users to connect and access data from their app, service, or data source, providing them with rich business insights and reliable analytics across multiple data sources.
Power BI provides a tuned, real-time SQL Server connector for easy creation of charts, reports, and dashboards while working directly with large amounts of data. Power BI is one of the most commonly used tools by organisations for business data analysis and reporting. Users utilise the power of Power BI charts, graphs, KPIs, reports for data analysis and gain an interactive understanding.
Power BI uses a set of different software services, apps, and built-in connectors that integrate deep with data to deliver compelling visuals, interactive reports, and insights. Power BI supports connections with a variety of data source connectors to upload data into a dashboard directly from the source, and to display data stored in databases or data warehouses. The connectors assist Business users, data scientists, and analysts to perform analysis on the data stored on the Creation Platform.
One of the new features of Power BI Desktop is the option to build custom connectors, which you can use while connecting your own custom connectors with data sources. The usage is done by placing.mez files under document/Power BI Desktop/Custom Connectors route, and a custom connector appears with no issues. Instead of the Power BI custom connector, a custom Power Query M-script can be used to connect Power BI with Xtract Universal.
Types of Connectors Used in Power BI
Power BI connectors are tools that allow you to connect to various data sources and import that data into Power BI for analysis and visualisation. Here is a list of some of the most popular connectors available in Power BI:
1. Microsoft Excel: Allows you to connect to and import data from Excel files.
2. Microsoft SQL Server: Allows you to connect to and import data from SQL Server databases.
3. Microsoft SharePoint: Allows you to connect to and import data from SharePoint lists.
4. Microsoft Azure SQL Database: Allows you to connect to and import data from Azure SQL databases.
5.Microsoft Azure Data Lake Storage: Allows you to connect to and import data from Azure Data Lake Storage.
6. Microsoft Azure Data Explorer: Allows you to connect to and import data from Azure Data Explorer.
7. Microsoft Azure Cosmos DB: Allows you to connect to and import data from Azure Cosmos DB.
8. Microsoft Dynamics 365: Allows you to connect to and import data from Dynamics 365.
9. Salesforce: Allows you to connect to and import data from Salesforce.
10. Google Analytics: Allows you to connect to and import data from Google Analytics.
11. SharePoint Online List: Allows you to connect to and import data from SharePoint online list.
12. Web: Allows you to connect to and import data from web pages, e.g by URL.
13. Folder: Allows you to connect to and import data from a folder containing files.
14. R Script: Allows you to connect to and import data using R script.
15. Power Query Online: Allows you to connect to and import data using Power Query Online.
16. ODBC: this helps you import data from any third-party ODBC driver simply by a Data Source Name (DSN) or a connection string.
17. OData: In Power BI Desktop, you can connect to an OData feed and use the underlying data just like any other data source in Power BI Desktop. To connect to an OData feed, select Get data > OData feed from the Home ribbon in Power BI Desktop.
18. DB2: It is the database server software from IBM, and Data Studio is a data management tool from IBM which can be used to connect to DB2 databases
19. MYSQL: MySQL Connectors provide connectivity to the MySQL server for client programs.
Conclusion:
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