Do you have any Tableau experience? We don't need core Tableau experience, but we need to know how to leverage Tableau APIs to pull objects from Tableau Server and build an information framework.

Tableau provides a REST API that allows programmatic access to most server resources such as workbooks, projects, users, and data sources. Authentication is typically done via OAuth or a personal access token, which returns a session token used in subsequent requests. Common endpoints include /api/3.10/sites, /api/3.10/sites/{site-id}/workbooks, and /api/3.10/sites/{site-id}/datasources. You can use these to list, create, update, or delete objects. For building an information framework, you would first authenticate, then query the desired objects, parse the JSON responses, and store metadata in a relational or graph database. This metadata can be used to generate dashboards, perform lineage analysis, or feed into downstream analytics. It’s important to handle pagination, rate limits, and error responses gracefully. Libraries such as Tableau Server Client (TSC) in Python simplify these interactions by wrapping the REST calls and handling authentication automatically.