Beginner data engineering project - batch edition

Terraform module to create AWS Redshift resources 🇺🇦

This checklist aims to be an exhaustive list of all elements you should consider when using Amazon Redshift.

Use AWS Lambda to Pull E-Scooter and E-Bike Location Data, store in S3 & Redshift using Data Vault Data Model, Server to Google Data Studio Dashboard

Data Warehouse with AWS Redshift and Visualizing data using Power BI

Simple getting started 1-node redshift cluster stack

Building and executing end-to-end ELT pipeline and driving analytics using Amazon Redshift as the data warehouse solution.

The idea is how can we prepare data to be used by Business Intelligence applications like Tableu or even Jupyternotebook! 👍 In order to help the business see an overview of the data in a diagram of what important features of the product their customers might be using. Mainly, how can we improve the performance of these OLAP and OLTP transactions…

Deploy an Amazon Redshift Cluster in AWS using Terraform

In this project, an ETL pipeline is built for a database hosted on Redshift. In this project, data from S3 is loaded to staging tables on Redshift and execute SQL statements that create the analytics tables from these staging tables.

Sparkify - Data Pipelines with Airflow - Udacity Data Engineering Expert Track.

Airflow orchestrated ETL (running in docker containers) that pulls batch data from an API to a local Postgres database, loads to AWS S3/Redshift provisioned by Terraform, and visualized in Quicksight.

Udacity Course, Data Engineering Nanodegree, 3rd Project, Data Warehouse with Amazon Redshift

Data Pipeline with Apache Airflow

Implement ETL data pipeline that reads data from S3 bucket and loads data into AWS redshift using Airflow

Udacity Data Engineering project: Data Warehouse

ETL Pipeline from AWS S3 to Redshift

A data warehouse on Amazon Redshift using a star schema to facilitate the analysis of user behaviour on a music streaming app.

Udacity Data Engineering Nanodegree Project 3