Data transport is a simple framework that enables read/write to multiple databases or technologies that can hold data. In using **data-transport**, you are able to:
- Enjoy the simplicity of **data-transport** because it leverages SQLAlchemy & Pandas data-frames.
- Share notebooks and code without having to disclosing database credentials.
- Seamlessly and consistently access to multiple database technologies at no cost
- No need to worry about accidental writes to a database leading to inconsistent data
- Implement consistent pre and post processing as a pipeline i.e aggregation of functions
- **data-transport** is open-source under MIT License https://github.com/lnyemba/data-transport
## Installation
Within the virtual environment perform the following :
Within the virtual environment perform the following,the options for installation are:
@ -28,7 +39,6 @@ Options to install components in square brackets
- CLI interface to add to registry, run ETL
- scales and integrates into shared environments like apache zeppelin; jupyterhub; SageMaker; ...
## Learn More
We have available notebooks with sample code to read/write against mongodb, couchdb, Netezza, PostgreSQL, Google Bigquery, Databricks, Microsoft SQL Server, MySQL ... Visit [data-transport homepage](https://healthcareio.the-phi.com/data-transport)