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HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for Microsoft Dataverse, HULFT Integrate can work with live Microsoft Dataverse data. This article explains how to connect to Microsoft Dataverse and move the data into a CSV file.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Microsoft Dataverse data. When you issue complex SQL queries to Microsoft Dataverse, the driver pushes supported SQL operations, like filters and aggregations, directly to Microsoft Dataverse and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Microsoft Dataverse data using native data types.
CData provides the easiest way to access and integrate live data from Microsoft Dataverse (formerly the Common Data Service). Customers use CData connectivity to:
CData customers use our Dataverse connectivity solutions for a variety of reasons, whether they're looking to replicate their data into a data warehouse (alongside other data sources)or analyze live Dataverse data from their preferred data tools inside the Microsoft ecosystem (Power BI, Excel, etc.) or with external tools (Tableau, Looker, etc.).
To enable access to Microsoft Dataverse data from HULFT Integrate projects:
Once you copy the JAR files, you can create a project with access to Microsoft Dataverse data. Start by opening Integrate Studio and creating a new project.
Once you create the project, add components to the script to copy Microsoft Dataverse data to a CSV file.
Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.
For assistance constructing the JDBC URL, use the connection string designer built into the Microsoft Dataverse JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.cds.jar
Fill in the connection properties and copy the connection string to the clipboard.
You can connect without setting any connection properties for your user credentials. Below are the minimum connection properties required to connect.
When you connect the Common Data Service OAuth endpoint opens in your default browser. Log in and grant permissions. The OAuth process completes automatically.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)SELECT AccountId, Name FROM Accounts
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
Map each column from the "Select" component to the corresponding column for the "CSV" component.
Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Microsoft Dataverse data into a CSV file.
๐ A completed script.Download a free, 30-day trial of the CData JDBC Driver for Microsoft Dataverse and start working with your live Microsoft Dataverse data in HULFT Integrate. Reach out to our Support Team if you have any questions.
Download a free trial of the Microsoft Dataverse Driver to get started:
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๐ Microsoft Dataverse IconRapidly create and deploy powerful Java applications that integrate with Microsoft Dataverse.