Create Power BI Reports on Real-Time CSV Data

With built-in support for ODBC on Microsoft Windows, the CData ODBC Drivers provide self-service integration with self-service analytics tools such as Microsoft Power BI. The CData ODBC Driver for CSV links your Power BI reports to operational CSV data. You can monitor CSV data through dashboards and ensure that your analysis reflects CSV data in real time by scheduling refreshes or refreshing on demand. This article details how to use the ODBC driver to create real-time visualizations of CSV data in Microsoft Power BI Desktop and then upload to Power BI.

The CData ODBC Drivers offer unmatched performance for interacting with live CSV data in Power BI due to optimized data processing built into the driver. When you issue complex SQL queries from Power BI to CSV, the driver pushes supported SQL operations, like filters and aggregations, directly to CSV and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze CSV data using native Power BI data types.

Connect to CSV as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. 👁 Configure ODBC DSN. (Salesforce is shown.)

Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

Setting connection properties for local files

Set the URI property to local folder path.

Setting connection properties for files stored in Amazon S3

To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

• AWSAccessKey: AWS Access Key (username)
• AWSSecretKey: AWS Secret Key

Setting connection properties for files stored in Box

To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

Dropbox

To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

SharePoint Online (SOAP)

To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

SharePoint Online REST

To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

Google Drive

To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

Create Data Visualizations

After creating an ODBC DSN, follow the steps below to connect to the CSV ODBC DSN from Power BI Desktop:

1. Open Power BI Desktop and click Get Data -> More... to open the Get Data window. 👁 Open Get Data window.
   
2. In the Get Data window select Other -> ODBC to open the next window. 👁 Select ODBC.
   
3. Select the DSN in the menu. If you know the SQL query you want to use to import data, you can expand the Advanced options node and enter the query in the SQL Statement box. Otherwise, click OK to continue. 👁 Select the ODBC DSN. (Salesforce is shown.)
   
4. Choose Default or Custom as the authentication option and click Connect. 👁 Choose authentication option. (Salesforce is shown.)
   
5. Select tables in the Navigator dialog. 👁 The available tables. (Salesforce is shown.)
   

6. Click Transform Data to edit the query. The table you imported is displayed in the Power Query Editor. In the Power Query Editor, you can enrich your local copy of CSV data with other data sources, pivot CSV columns, and more. Power BI detects each column's data type from the CSV metadata retrieved by the driver.

   Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote CSV data. When you click Close and Apply, Power BI executes the data retrieval query.

   Otherwise, click Load to pull the data into Power BI.

Create Data Visualizations

After pulling the data into Power BI, you can create data visualizations in the Report view by dragging fields from the Fields pane onto the canvas. Follow the steps below to create a pie chart (Salesforce shown):

1. Select the pie chart icon in the Visualizations pane.
2. Select a dimension in the Fields pane: for example, Name.
3. Select a measure in the Fields pane: for example, Annual Revenue.

👁 A pie chart showing Account Names and Annual Revenue from Salesforce.

You can change sort options by clicking the ellipsis (...) button for the chart. Options to select the sort column and change the sort order are displayed.

You can use both highlighting and filtering to focus on data. Filtering removes unfocused data from visualizations; highlighting dims unfocused data. You can highlight fields by clicking them:

👁 A highlighted account in a pie chart. (Salesforce is shown.)

You can apply filters at the page level, at the report level, or to a single visualization by dragging fields onto the Filters pane. To filter on the field's value, select one of the values that are displayed in the Filters pane.

👁 Accounts and Annual Revenue filtered by Industry. (Salesforce is shown.)

Click Refresh to synchronize your report with any changes to the data.

Free Trial & More Information

If you are interested in connecting to your CSV data from Microsoft Power BI, or any applications that support ODBC connectivity, download a free, 30-day trial of the CData ODBC Driver for CSV. As always, our world-class support team is ready to answer any questions you may have.