User-friendly Teradata client for Python
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Updated
Nov 17, 2021 - Python
User-friendly Teradata client for Python
A luigi powered analytics / warehouse stack
Sample code with integration between Data Catalog and RDBMS data sources.
Set of iPython and Jupyter extensions to improve user experience
Tools for faster and optimized interaction with Teradata and large datasets.
Using SqlAlchemy and Pandas to access tables as properties of a database engine
Microservice in python flask to run Teradata database queries
Heroku web service client for sklearn2sql
Teradata's TTU tools for Apache Airflow (python 3)
Creating a file conversion tool that allows users to select XML, PARQUET, CSV, EXCEL, or JSON files and create a new version in their file type choice. Users can connect to Teradata, query, and download data in specified formats. Users can merge, visualize, or preview data for analysis.
Using BLENDER and PYTHON, visualize in 3D the structure of your Data warehouse and many important parameters
Databases Connections
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