> For the complete documentation index, see [llms.txt](https://docs.tinychain.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tinychain.net/use-cases/for-data-scientists.md).

# For Data Scientists

With TinyChain, data scientists can easily analyze live replicas of a production database, eliminating the need to copy entire tables and databases out of the platform which tracks and enforces ownership of the data. This also eliminates the need to maintain a separate platform (e.g. TensorFlow Serving) in order to serve models. TinyChain also allows the construction of stateful models, like a recurrent neural network (RNN) with a per-user state in memory, or a model which updates a database when it encounters an unexpected input.
