> For the complete documentation index, see [llms.txt](https://resources.unizin.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://resources.unizin.org/products/data-and-analytics/raw-canvas-data-2/bigquery-datasets.md). # BigQuery Datasets ### Overview Unizin members may also have access to raw Canvas Data 2 tables/i.e. datasets in Google's BigQuery, adjacent to their modeled UDP data. This simplifies the ability to query across raw and modeled Canvas Data. The CD2 tables in BigQuery are updated every 24 hours. Unizin retains a rolling seven-day history of files. A new dataset for each dump namespace will be delivered for all institutions. The names of the two datasets are: [`canvas`](https://developerdocs.instructure.com/services/dap/dataset/dataset-namespaces/dataset-canvas) and [`canvas_catalog`](https://developerdocs.instructure.com/services/dap/dataset/dataset-namespaces/dataset-catalog). * `canvas`: untransformed "raw" CD2 data. * `canvas_catalog`: new Canvas Catalog data. To request access to Canvas Data tables in BigQuery, please submit a support ticket by emailing . ### User Access Similar to all UDP user access requests, each individual must receive a Data Steward's written approval and submit it to Unizin via support ticket so access may be granted. A user must clearly indicate the method for which they want to consume the raw CD2 data (i.e. tables/datasets in BigQuery). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://resources.unizin.org/products/data-and-analytics/raw-canvas-data-2/bigquery-datasets.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.