Use the CData ODBC Driver for BigQuery in MicroStrategy Web



Connect to BigQuery data in MicroStrategy Web using the CData ODBC Driver for BigQuery.

MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy 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 external data in MicroStrategy Web 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.

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

  • Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
  • Enhance data workflows with Bi-directional data access between BigQuery and other applications.
  • Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

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


Getting Started


Connect to BigQuery as an ODBC Data Source

Information for connecting to BigQuery follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for BigQuery must be installed on the machine hosting the connected MicroStrategy Intelligence Server).

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, you will need to register an application to obtain the OAuth JWT values.

In addition to the OAuth values, you will need to 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.

Windows

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.

Linux

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.

/etc/odbc.ini

[CData GoogleBigQuery Sys] Driver = CData ODBC Driver for BigQuery Description = My Description DataSetId = MyDataSetId ProjectId = MyProjectId

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Connect to and Visualize BigQuery Data using MicroStrategy Web

Once you have created a database instance in MicroStrategy Developer and connected it to a project, you can perform a data import of BigQuery data from MicroStrategy Web. Alternatively, you can create a new data source based on the ODBC Driver.*

  1. Open MicroStrategy Web and select your project.
  2. Click Add External Data, select Databases, and choose Select a Table as the Import Option.
  3. In the Import from Tables wizard, click to add a new data source.
    • Select DSN Data Sources
    • Set the DSN property to the previously configured DSN (CData GoogleBigQuery Sys)
    • Set the Version property to Generic DBMS
    • Set the User and Password properties (or use filler values)
    • Set the Data Source Name
  4. After creating the data source, click to edit the catalog options and set the following queries and click OK.
    • SQL statement to retrieve tables available in the data source
      SELECT
        CatalogName NAME_SPACE,
        TableName TAB_NAME
      FROM
        SYS_TABLES
          
    • SQL statement to retrieve columns for the selected tables
      SELECT DISTINCT 
        CatalogName NAME_SPACE, 
        TableName TAB_NAME, 
        ColumnName COL_NAME, 
        DataTypeName DATA_TYPE, 
        Length DATA_LEN, 
        NumericPrecision DATA_PREC, 
        NumericScale DATA_SCALE 
      FROM 
        SYS_TABLECOLUMNS 
      WHERE 
        TableName IN (#TABLE_LIST#) 
      ORDER BY
        1,2,3
          
  5. Drag a table into the pane. Note: Since we create a live connection, we can import whole tables and utilize the filtering and aggregation features native to the MicroStrategy products.
  6. Click Finish, choose to the option to connect live, save the query, and choose the option to create a new dossier.
  7. Choose a visualization, choose fields to display, and apply any filters to create a new visualization of BigQuery data. Data types are discovered automatically through dynamic metadata discovery. Where possible, the complex queries generated by the filters and aggregations will be pushed down to BigQuery, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.
  8. Once you have finished configuring the dossier, click File -> Save.

Using the CData ODBC Driver for BigQuery in MicroStrategy Web, 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 Desktop for more examples.


Note: connecting using a ODBC driver requires a 3- or 4-tier architecture.

Ready to get started?

Download a free trial of the Google BigQuery ODBC Driver to get started:

 Download Now

Learn more:

Google BigQuery Icon Google BigQuery ODBC Driver

The 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.