Simple getting started 1-node redshift cluster stack
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Updated
Dec 31, 2020 - Python
Simple getting started 1-node redshift cluster stack
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.
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
A data warehouse on Amazon Redshift using a star schema to facilitate the analysis of user behaviour on a music streaming app.
data pipeline ETL using Apache Airflow form data movement and amazon s3-storge with redshift cluster to storing the data in fact and DEM teables
This project is a data warehousing solution for Sparkify, a music streaming service to extract data from JSON logs and stores it in a star schema data model in Amazon Redshift.
Create a Redshift DW on AWS by using snow schema and columnar operation `COPY` via SQL and Python
Database Schema & ETL pipeline for Song Play Analysis | Bosch AI Talent Accelerator Scholarship Program
☁️ Creating a Redshift Cluster using the AWS Python SDK
Python ETL pipeline to load data from Amazon S3 to Redshift analytics tables
Full code for UDACITY's Data Engineer Nano Degree project. Build a Data Warehouse in AWS with Amazon Redshift.
IMDB Movie Data ETL Pipeline using S3, Glue, Redshift, EventBridge, SNS
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