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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.

Use the CData ODBC Driver for BigQuery in MicroStrategy



Connect to BigQuery data in MicroStrategy Developer 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 creating a database instance for BigQuery in MicroStrategy Developer and creating a Warehouse Catalog based on 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.

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).

Create a BigQuery Database Instance in MicroStrategy Developer

You can connect to BigQuery in MicroStrategy Developer by adding a database instance based on the CData ODBC Driver for BigQuery.*

  1. Open MicroStrategy Developer and select a Project Source.
  2. Navigate to Administration -> Configuration Managers -> Database Instances and right-click to add a new instance.
  3. Name the instance, select Generic DBMS as the database connection type, and create a new database connection.
  4. In the database connection wizard, name the connection and create a new Database Login name, using filler values for the user and password.
  5. Select the DSN that you configured earlier as the ODBC data source (i.e., CData GoogleBigQuery Sys).
  6. Select the newly created database connection.
  7. In the Project Source, right-click the project and open the Project configuration.
  8. Navigate to Database Instances and select the newly created database instance.
  9. Close MicroStrategy Developer and restart the connected MicroStrategy Intelligence Server to complete the database instance creation.

With the database instance configured, you will now be able to connect to BigQuery data from the Warehouse Catalog and Data Import.

Connect to BigQuery Data from the Warehouse Catalog

Once you have created a database instance based on the ODBC Driver for BigQuery, you can connect to data from the Warehouse Catalog.

  1. Select your project and click Schema -> Warehouse Catalog.
  2. In the Read Settings for the Catalog, click Settings and set the queries to retrieve the schema:
    • To retrieve the list of tables, use the following query:
      SELECT 
        CatalogName NAME_SPACE,
        TableName TAB_NAME 
      FROM 
        SYS_TABLES
              
    • To retrieve the list of columns for selected tables, use the following query:
      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
              
  3. Select tables to be used in the project.

If you are interested in connecting to BigQuery from other MicroStrategy products, you can read about connecting from MicroStrategy Web and connecting from MicroStrategy Desktop.


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