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Copyright (2022) Databricks, Inc. | |
## License | |
This Software includes software developed at Databricks (https://www.databricks.com/) and its use is subject to the included LICENSE file. | |
This Software contains code from the following open source projects, licensed under the Apache 2.0 license: | |
psf/requests - https://github.com/psf/requests | |
Copyright 2019 Kenneth Reitz | |
## Data collection | |
To improve users experience and dbdemos asset quality, dbdemos sends report usage and capture views in the installed notebook (usually in the first cell) and other assets like dashboards. This information is captured for product improvement only and not for marketing purpose, and doesn't contain PII information. By using `dbdemos` and the assets it provides, you consent to this data collection. If you wish to disable it, you can set `Tracker.enable_tracker` to False in the `tracker.py` file. | |
## Resource creation | |
To simplify your experience, `dbdemos` will create and start for you resources. As example, a demo could start (not exhaustive): | |
- A cluster to run your demo | |
- A Delta Live Table Pipeline to ingest data | |
- A DBSQL endpoint to run DBSQL dashboard | |
- An ML model | |
While `dbdemos` does its best to limit the consumption and enforce resource auto-termination, you remain responsible for the resources created and the potential consumption associated. | |
## Catalog/Database created | |
dbdemos will try to create catalogs & databases (schemas). Demos are using the hive_metastore or UC catalogs. dbdemos will try to use the dbdemos catalog when possible. | |
Permissions / ownership can be granted to all users (account users) in these datasets. | |
## Support | |
Databricks does not offer official support for `dbdemos` and the associated assets. | |