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Redash is a collaboration tool that lets you query, visualize, and share your data. When paired with CData Connect AI, Redash gets access to live Amazon DynamoDB data. This article demonstrates how to connect to Amazon DynamoDB using Connect AI and work with live Amazon DynamoDB data in Redash.
CData Connect AI provides a pure SQL Server interface for Amazon DynamoDB, allowing you to query data from Amazon DynamoDB without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Amazon DynamoDB, leveraging server-side processing to return the requested Amazon DynamoDB data quickly.
Connectivity to Amazon DynamoDB from Redash is made possible through CData Connect AI. To work with Amazon DynamoDB data in Redash, we start by creating and configuring a Amazon DynamoDB connection.
The connection to Amazon DynamoDB is made using your AccessKey, SecretKey, and optionally your Domain and Region. Your AccessKey and SecretKey can be obtained on the security credentials page for your Amazon Web Services account. Your Region will be displayed in the upper left-hand corner when you are logged into DynamoDB.
๐ Configuring a connection (Salesforce is shown)When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
With the connection configured and a PAT generated, you are ready to connect to Amazon DynamoDB data from Redash.
To establish a connection from Redash to CData Connect AI using the Virtual SQL Server, follow these steps:
You can now work with live Amazon DynamoDB data in Redash.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Redash, try CData Connect AI today!
Learn more about CData Connect AI or sign up for free trial access:
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