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MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When paired with the CData ODBC Driver for BigQuery, you gain database-like access to live BigQuery data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through adding BigQuery as a data source in MicroStrategy Desktop and creating a simple visualization of BigQuery data.
The CData ODBC Driver offers unmatched performance for interacting with live BigQuery data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy to BigQuery, the driver pushes supported SQL operations, like filters and aggregations, directly to BigQuery 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 BigQuery data using native MicroStrategy data types.
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Information for connecting to BigQuery follows, along with different instructions for configuring a DSN in Windows and Linux environments.
Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
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.
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.
If you are installing the CData ODBC Driver for BigQuery in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.
[CData GoogleBigQuery Sys] Driver = CData ODBC Driver for BigQuery Description = My Description DataSetId = MyDataSetId ProjectId = MyProjectId InitiateOAuth = GETANDREFRESH
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
In addition to connecting BigQuery in MicroStrategy enterprise products, you can connect to BigQuery in MicroStrategy Desktop. Follow the steps below to add BigQuery data as a dataset and create visualizations and reports of BigQuery data.
SELECT * FROM Orders👁 Querying BigQuery for data.
Using the CData ODBC Driver for BigQuery in MicroStrategy Desktop, you can easily create robust visualizations and reports on BigQuery data. Read our other articles on connecting to BigQuery in MicroStrategy and connecting to BigQuery in MicroStrategy Web for more examples.
Download a free trial of the Google BigQuery ODBC Driver to get started:
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👁 Google BigQuery IconThe Google BigQuery ODBC Driver is a powerful tool that allows you to connect with live Google BigQuery data, directly from any applications that support ODBC connectivity.
Access Google BigQuery like you would a database - read, write, and update Datasets, Tables, etc. through a standard ODBC Driver interface.