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Dataiku is a data science and machine learning platform used for data preparation, analysis, visualization, and AI/ML model deployment, enabling collaborative and efficient data-driven decision-making. When paired with the CData JDBC Driver for Amazon Marketplace, Dataiku enhances data integration, preparation, real-time analysis, and reliable model deployment for Amazon Marketplace data.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Amazon Marketplace data. When you issue complex SQL queries to Amazon Marketplace, the driver pushes supported SQL operations, like filters and aggregations, directly to Amazon Marketplace 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 Amazon Marketplace data using native data types.
This article shows how you can easily integrate to Amazon Marketplace using CData JDBC Driver for Amazon Marketplace in Dataiku DSS (Data Science Studio) platform, allowing you to prepare the data and build custom AI/ML models.
In this section, we will explore how to set up Dataiku, as previously introduced, with Amazon Marketplace data. Be sure to install Dataiku DSS (On-Prem version) for your preferred operating system, beforehand.
First, install the CData JDBC Driver for Amazon Marketplace on the same machine as Dataiku. The JDBC Driver will be installed in the following path:
C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.amazonmarketplace.jar
To use the CData JDBC driver in Dataiku, you must create a new SQL database connection and add the JDBC Driver JAR file in the DSS connection settings.
Generate a JDBC URL for connecting to Amazon Marketplace, beginning with jdbc:amazonmarketplace: followed by a series of semicolon-separated connection string properties.
To connect to the Amazon Marketplace Webservice (MWS), AWSAccessKeyId, MWSAuthToken, AWSSecretKey and SellerId are required. You can optionally set the Marketplace property. For more information on obtaining values for these properties, refer to the Help documentation.
For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon Marketplace JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.amazonmarketplace.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.)A typical JDBC URL is given below:
jdbc:amazonmarketplace:AWS Access Key Id=myAWSAccessKeyId;AWS Secret Key=myAWSSecretKey;MWS Auth Token=myMWSAuthToken;Seller Id=mySellerId;Marketplace=United States;
Next, select the SQL dialect of your choice. Here, we have selected 'SQL Server' as the preferred dialect. Click on Create. If the connection is successful, a prompt will display, saying 'Connection OK'.
To prepare data flows, create dashboards, analyze the Amazon Marketplace data, and build AI and ML models in the Dataiku DSS platform, you need to first create a new project.
To test the Amazon Marketplace connection and analyze the Amazon Marketplace data, write a query in the query compiler and click Run. The queried/filtered Amazon Marketplace data results will then appear on the screen.
π Query the datasource to test the connection.Download a free, 30-day trial of the CData JDBC Driver for Amazon Marketplace to integrate with Dataiku, and effortlessly build custom AI/ML models from Amazon Marketplace data.
Reach out to our Support Team if you have any questions.
Download a free trial of the Amazon Marketplace Driver to get started:
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π Amazon Marketplace IconRapidly create and deploy powerful Java applications that integrate with Amazon Marketplace data including InventoryItems, Orders, Products, and more!