There are 3 repositories under amazon-redshift topic.
Rich SQL client for Postgresql, MySQL, MS SQL, Amazon Redshift, Google Firebase (Firestore)
Helical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.
Redshift Python Connector. It supports Python Database API Specification v2.0.
Reference Architectures for Relational Databases on AWS
This checklist aims to be an exhaustive list of all elements you should consider when using Amazon Redshift.
A simple command-line tool to copy tables from Amazon Redshift to Amazon RDS (PostgreSQL).
Simple getting started 1-node redshift cluster stack
Udacity Data Engineering Nano Degree Project, ETL for Data Warehouse using S3 and Amazon Redshift.
Amazon Redshift Serverless RSQL ETL Framework
ETL Redshift-based workflow automated with AWS Step Funtions.
Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.
Redshift ORM and Migration support for django
A project from the Data Engineer Nanodegree Program at Udacity to practice Data Warehouses and ETL pipelines on AWS.
This data pipeline is an ETL process with Apache Airflow that loads data from Amazon S3 bucket, stage the data workload and insert into Amazon Redshift Datawarehouse
Building Data Warehouse and ETL pipelines using Amazon S3 and Redshift
Repository for projects developed in Udacity's Data Engineering Nanodegree.
Data Warehouse on AWS with Amazon Redshift
Data Warehouse with Amazon Redshift
Udacity Data Engineering Capstone project
ETL Pipeline for Spar Nord Bank for the analysis of refilling frequency of the ATM's all over the europe
Creating a Data Warehouse in AWS Cloud with all infrastructure created by code (IaC) through Terraform
Building Data Pipelines for a data warehouse with Airflow and AWS
Full code for UDACITY's Data Engineer Nano Degree project. Build a Data Warehouse in AWS with Amazon Redshift.
A lightweight tool based on sweetviz that generates high-density visualizations to kickstart Exploratory Data Analysis within Amazon Redshift using pyodbc with just one line of code.
Simplified blueprints for building data pipelines with Amazon Redshift.
Building an ETL pipeline for a database hosted on Redshift. Extracting data from S3 to staging tables on Redshift . Transforming data by executing SQL statements that create the analytics tables from these staging tables by start schema. Loading star schema tables to Redshift