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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 Wave Financial, you gain database-like access to live Wave Financial data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through creating a database instance for Wave Financial in MicroStrategy Developer and create a Warehouse Catalog for the Wave Financial data.
The CData JDBC Driver offers unmatched performance for interacting with live Wave Financial data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy to Wave Financial, the driver pushes supported SQL operations, like filters and aggregations, directly to Wave Financial 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 Wave Financial data using native MicroStrategy data types.
You can connect to Wave Financial in MicroStrategy Developer by adding a database instance based on the CData JDBC Driver for Wave Financial.* Before you begin, you will need to install the JDBC Driver for Wave Financial on the machine hosting the MicroStrategy Intelligence Server that your instance of MicroStrategy Developer is connected to.
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.
For assistance in constructing the JDBC URL, use the connection string designer built into the Wave Financial JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.wavefinancial.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.wavefinancial.WaveFinancialDriver;URL={jdbc:wavefinancial:InitiateOAuth=GETANDREFRESH;};
π Configuring the connection to Wave Financial data using JDBC.With the database instance configured, you will now be able to connect to Wave Financial data from the Warehouse Catalog and Data Import.
Once you have created a database instance based on the JDBC Driver for Wave Financial, 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 Wave Financial in MicroStrategy, you can easily create robust visualizations and reports on Wave Financial data. Read our other articles on connecting to Wave Financial in MictroStrategy Web and connecting to Wave Financial 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 Wave Financial Driver to get started:
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π Wave Financial IconRapidly create and deploy powerful Java applications that integrate with Wave Financial.