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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 Active Directory data. This article demonstrates how to connect to Active Directory using Connect AI and work with live Active Directory data in Redash.
CData Connect AI provides a pure SQL Server interface for Active Directory, allowing you to query data from Active Directory 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 Active Directory, leveraging server-side processing to return the requested Active Directory data quickly.
Connectivity to Active Directory from Redash is made possible through CData Connect AI. To work with Active Directory data in Redash, we start by creating and configuring a Active Directory connection.
To establish a connection, set the following properties:
BaseDN: This will limit the scope of LDAP searches to the height of the distinguished name provided.
Note: Specifying a narrow BaseDN may greatly increase performance; for example, cn=users,dc=domain will only return results contained within cn=users and its children.
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 Active Directory 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 Active Directory 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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