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With built-in support for ODBC on Microsoft Windows, CData ODBC Drivers provide self-service integration with self-service analytics tools, such as Microsoft Power BI. The CData ODBC Driver for Wave Financial links your Power BI reports to operational Wave Financial data. You can monitor Wave Financial data through dashboards and ensure that your analysis reflects Wave Financial 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 Wave Financial data in Microsoft Power BI Desktop and then publish the visualizations to Power BI Report Server.
The CData ODBC Drivers offer unmatched performance for interacting with live Wave Financial data in Power BI due to optimized data processing built into the driver. When you issue complex SQL queries from Power BI to Wave Financial, the driver pushes supported SQL operations, such as filters and aggregations, directly to Wave Financial and uses 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 Wave Financial data using native Power BI data types.
If you have not already, first specify connection properties in an ODBC data source name (DSN). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. To publish Power BI reports from Power BI Desktop to Power BI Report Server, you will need to install the ODBC Driver on both the client (desktop) and server machines, using the same name for the DSN on each machine.
You can connect to Wave Financial by specifying the APIToken You can obtain an API Token using the following steps:
If you wish, you can connect using the embedded OAuth credentials. See the Help documentation for more information.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
π Configuring a DSN (NetSuite is shown).After creating a DSN, follow the steps below to connect to the Wave Financial DSN from Power BI Desktop:
Click Edit to edit the query. The table you imported is displayed in the Query Editor. In the Query Editor, you can enrich your local copy of Wave Financial data with other data sources, pivot Wave Financial columns, and more. Power BI detects each column's data type from the Wave Financial 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 Wave Financial data. When you click Close and Apply, Power BI executes the data retrieval query.
Otherwise, click Load to pull the data into Power BI.
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:
You can share reports based on ODBC data sources with other Power BI users in your organization using a Power BI Report Server.
Download a free trial of the Wave Financial ODBC Driver to get started:
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π Wave Financial IconThe Wave Financial ODBC Driver is a powerful tool that allows you to connect with live data from Wave Financial, directly from any applications that support ODBC connectivity.
Access Wave Financial data like you would a database - read, write, and update Wave Financial Accounts, Customers, Products, etc. through a standard ODBC Driver interface.