hiplab/data-transport
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data-transport
mirror of https://github.com/lnyemba/data-transport
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python data transport layer, mongodb, netezza, bigquery, postgresql files
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Steve L. Nyemba a4481865ea
Merge pull request #12 from lnyemba/v2.0.4 
bug fix: use plugins to refer to plugins
 		2024-06-10 01:05:12 -05:00
bin refactor: etl,better reusability & streamlined and threaded 2024-06-10 00:42:42 -05:00
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transport bug fix: use plugins to refer to plugins 2024-06-10 01:03:59 -05:00
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setup.py refactor: etl,better reusability & streamlined and threaded 2024-06-10 00:42:42 -05:00

README.md

Introduction

This project implements an abstraction of objects that can have access to a variety of data stores, implementing read/write with a simple and expressive interface. This abstraction works with NoSQL, SQL and Cloud data stores and leverages pandas.

Why Use Data-Transport ?

Mostly data scientists that don't really care about the underlying database and would like a simple and consistent way to read/write and move data are well served. Additionally we implemented lightweight Extract Transform Loading API and command line (CLI) tool. Finally it is possible to add pre/post processing pipeline functions to read/write

  1. Familiarity with pandas data-frames
  2. Connectivity drivers are included
  3. Mining data from various sources
  4. Useful for data migrations or ETL

Installation

Within the virtual environment perform the following :

pip install git+https://github.com/lnyemba/data-transport.git

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