Data Observatory
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The Data Observatory section of the Workspace allows users to find the best data for their use case among the thousands of spatial datasets available in the CARTO’s Spatial Data Catalog.
From the Spatial Data Catalog, you can:
You subscriptions and samples can be accessed through the Data Observatory section of the Data Explorer.
From there, you can:
Additionally, Admin users can get a list with the status of all the Data Observatory subscriptions in the organization from the Settings section.
By default and in order to allow users to start leveraging and assessing the data from their subscriptions straightaway, data is accessible via the CARTO Data Warehouse connection (when available).
Please check out the following resources to learn more:
To visualize Data Observatory datasets, you can use CARTO Workspace using Builder. You can do so by clicking on the "Create map" action in the subscription’s detail page from the Data Observatory section of the Data Explorer. Alternatively, you can add a new Data Observatory source to an existing map.
Or by adding a new Data Observatory source to an existing map:
to find the data that best suits your needs.
of most public and premium datasets.
or to start the licensing process of premium datasets from our vetted data sources.
and samples.
You can access your subscriptions directly from your data warehouses . In order to do that the CARTO team will take care of transferring the data from your Data Observatory subscriptions to the desired location of your data warehouse by leverage the native private sharing mechanisms of that platform. The Data Observatory is currently supported for BigQuery, Snowflake, Databricks, Redshift and PostgreSQL connections. To start the process to get your subscription data transferred to your data warehouse please contact your CARTO representative.
Access information specific to each data warehouse can be checked through the Access in button available in the dataset’s detail page. Please refer to to learn more.
The Analytics Toolbox for , and offer a set of functions to enrich your datasets with any of the from your Data Observatory subscriptions by performing a spatial join between them and your own data. Enrichment is an essential step to incorporate Data Observatory data into your spatial analysis workflows.
BigQuery: and .
Snowflake: .
Redshift: .
