teradata

Covalent - A Design System for Teradata

Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.

Big Data Processing Framework - Unified Data API or SQL on Any Storage

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

Application to compare results of two SQL queries

dbt adapter for Teradata

A Teradata Backend for dplyr

Tools for faster and optimized interaction with Teradata and large datasets.

Presto-Teradata connector

All latest def files for Tera online

An introduction to using Kylo, an open source data lake builder from Teradata

This repository contains my academic marketing and customer data analytics related projects using R and SQL.

Using SqlAlchemy and Pandas to access tables as properties of a database engine

DBSee represents the Teradata best practice beliefs that can be checked for programmatically. DBSee consists of a set of SQL scripts developed by VLDB that run against the Teradata data dictionary. Each script can be used to inform a user of the current state of their Teradata system.

Teradata for Node.js

A dockerized Kylo sandbox