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What is data-transport

The data-transport and is intended to read, write to any supported databases transparently. The framework lowers the barrier to adoption by using Python Pandas, SQLAlchemy as foundational components to its architecture. The architecture allows

  1. seamless reads and writes regardless of the database vendor (SQL, NoSQL, Cloud ...)
  2. separates reads from writes to avoid accidental tampering with data
  3. works with pandas for reads and writes
  4. support for plugin (functions) to apply against the data as pre/post processing
  5. supports a lightweight Extract Transform tool (ETL) as a command line interface (CLI)

Credits

Data-transport was designed and developed at the Health Information Privacy Laboratory at Vanderbilt University Medical Center with the input of all co-workers, interns post-doctoral fellows