Interested in seeing Power Query at work? The Power BI – Getting Started Guide has a section that shows Power Query being used to create a workbook that connects to external data, transforms data, and creates a data model. You can read the entire guide, or jump to its Power Query section.With Power Query, you can share and manage queries as well as search data within your organization. Users in the enterprise can find and use these shared queries (if it is shared with them) to use the underlying data in the queries for their data analysis and reporting. For more information about how to share queries, see Share Queries.
With Power Query, you can
- Find and connectdata across a wide variety of sources.
- Merge and shape data sources to match your data analysis requirements or prepare it for further analysis and modeling by tools such as Power Pivot and Power View.
- Create custom views over data.
- Use the JSON parser to create data visualizations over Big Data and Azure HDInsight.
- Perform data cleansing operations.
- Import data from multiple log files.
- Create a query from your Facebook likes that render an Excel chart.
- Pull data into Power Pivot from new data sources, such as XML, Facebook, and File Folders as refreshable connections.
- With Power Query 2.10 and later, you can share and manage queries as well as search data within your organization.
Power Query Data Sources
- Web page
- Excel or CSV file
- XML file
- Text file
- Folder
- SQL Server database
- Microsoft Azure SQL Database
- Access database
- Oracle database
- IBM DB2 database
- MySQL database
- PostgreSQL Database
- Sybase Database
- Teradata Database
- SharePoint List
- OData feed
- Microsoft Azure Marketplace
- Hadoop File (HDFS)
- Microsoft Azure HDInsight
- Microsoft Azure Table Storage
- Active Directory
- Microsoft Exchange
