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MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with the CData JDBC Driver for Google Ads, you gain database-like access to live Google Ads data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through creating a database instance for Google Ads in MicroStrategy Developer and create a Warehouse Catalog for the Google Ads data.
The CData JDBC Driver offers unmatched performance for interacting with live Google Ads data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy to Google Ads, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Ads 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 Google Ads data using native MicroStrategy data types.
You can connect to Google Ads in MicroStrategy Developer by adding a database instance based on the CData JDBC Driver for Google Ads.* Before you begin, you will need to install the JDBC Driver for Google Ads on the machine hosting the MicroStrategy Intelligence Server that your instance of MicroStrategy Developer is connected to.
Google uses the OAuth authentication standard. To access Google APIs on behalf on 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 DeveloperToken and ClientCustomerId.
See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
For assistance in constructing the JDBC URL, use the connection string designer built into the Google Ads JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.googleads.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, 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.
Typical additional connection string properties follow:
JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.googleads.GoogleAdsDriver;URL={jdbc:googleads:DeveloperToken=MyDeveloperToken;ClientCustomerId=MyClientCustomerId;InitiateOAuth=GETANDREFRESH;};
π Configuring the connection to Google Ads data using JDBC.With the database instance configured, you will now be able to connect to Google Ads data from the Warehouse Catalog and Data Import.
Once you have created a database instance based on the JDBC Driver for Google Ads, you can connect to data from the Warehouse Catalog.
SELECT * FROM SYS_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
Using the CData JDBC Driver for Google Ads in MicroStrategy, you can easily create robust visualizations and reports on Google Ads data. Read our other articles on connecting to Google Ads in MictroStrategy Web and connecting to Google Ads in MicroStrategy Desktop for more information.
Note: Connecting using a JDBC Driver requires a 3- or 4-Tier Architecture.
Download a free trial of the Google AdWords Driver to get started:
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π Google AdWords IconAn easy-to-use database-like interface for Java based applications and reporting tools access to live Google AdWords data (Campaigns, AdGroups, Performance, and more).