redshift-cluster
There are 2 repositories under redshift-cluster topic.
josephmachado / beginner_de_project
Beginner data engineering project - batch edition
Language:HTML 432terraform-aws-modules / terraform-aws-redshift
Terraform module to create AWS Redshift resources 🇺🇦
Language:HCL 80servian / amazon-redshift-checklist
This checklist aims to be an exhaustive list of all elements you should consider when using Amazon Redshift.
jaredfiacco2 / AWS-E-Scooter-Tracker
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
Language:PLpgSQL 12essraahmed / Data-Warehouse-With-Redshift
Data Warehouse with AWS Redshift and Visualizing data using Power BI
Language:Jupyter Notebook 8miztiik / redshift-demo
Simple getting started 1-node redshift cluster stack
Language:Python 6idelfonsog2 / data_warehouse_with_aws_redshift
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? For that, we use the combination of star schema tables, we build a strategy for a distributed data system, and do grouping for all the features thanks to REDSHIFT.
Language:Jupyter Notebook 3abrook7 / ETL_Project
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.
Language:Python 2Ahmedmagdy31 / Data-Engineering-Project-over-AWS
Building and executing end-to-end ELT pipeline and driving analytics using Amazon Redshift as the data warehouse solution.
aksharas28 / Cloud-Data-Warehouses-with-AWS
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.
Language:Python 2Dina-Hosny / Sparkify---Data-Pipelines-with-Airflow
Sparkify - Data Pipelines with Airflow - Udacity Data Engineering Expert Track.
Language:Python 2- Language:Jupyter Notebook 2
Aleaume / Udacity_DataEng_P3
Udacity Course, Data Engineering Nanodegree, 3rd Project, Data Warehouse with Amazon Redshift
Language:Jupyter Notebook 1Data Pipeline with Apache Airflow
Language:Python 1- terraform-aws-redshift-cluster
KopiCloud / terraform-aws-redshift-cluster
Deploy an Amazon Redshift Cluster in AWS using Terraform
Language:HCL 1 praveen-gopal-reddy / DataPipeLine-S3-to-Redshift-Using-Airflow
Implement ETL data pipeline that reads data from S3 bucket and loads data into AWS redshift using Airflow
Language:Python 1adharangaonkar / ETL-Pipelines
A repository concentrating on using High end parallel pipelines to perform ETL across various data sources
Language:Jupyter Notebook 0arfatmateen / Data_Warehouse_on_AWS
Database Schema & ETL pipeline for Song Play Analysis | Bosch AI Talent Accelerator Scholarship Program
Language:Python 0Bahaa29 / Sparkify_Airflow
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
Language:Python 0FutureTroglodyte / udacity-nd027-data_warehouse
Udacity Data Engeneering Nanodegree Program - My Submission of Project: Data Warehouse
Language:Jupyter Notebook 0jkenney0501 / AWS-Data-Engineering-Project-
This project builds a pipeline from AWS S3 storage to a Redshift Cloud hosted Cluster where an ETL process extracts the staged data and creates a STAR Schema to allow business users to query the data easier for business intelligence.
Language:Jupyter Notebook 0- Language:Python 0
Marcoc51 / Sparkify-Data-Warehouse
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.
Language:Python 0MrBenA / Data_Warehouse-Amazon_Redshift
Udacity Data Engineering project: Data Warehouse
Language:Python 0SalSuwai / Data_Warehouses_AWS
applying data warehouses tools and AWS to build an ETL pipeline for a database hosted on Redshift. loading data from AWS S3 bucket to staging tables on Redshift and executing SQL statements that create the analytics tables from these staging tables.
Language:Jupyter Notebook 0alexandrabaturina / redshift-data-warehouse
Python ETL pipeline to load data from Amazon S3 to Redshift analytics tables
Language:PythonDipesh-Pokhrel / redshift-cluster
Warehousing with redshift
Language:Jupyter NotebookAWS Pipeline examples from Udacity Date Engineering Nanodegree.
Language:Jupyter Notebookjoyceannie / Data-Warehouse-AWS
A music streaming startup, Sparkify, has grown their user base and song database and want to move their processes and data onto the cloud. The data resides in S3, in a directory of JSON logs on user activity on the app, as well as a directory with JSON metadata on the songs in their app. The objective of the project is to create an ETL pieline to build a datawarehouse . We extract data from S3, stage them in Redshift, and transform data into a set of dimensional tables for the analytics team to continue finding insights into what songs their users are listening to.
Language:Jupyter Notebookmhaywardhill / Redshift-DWH-ETL
Udacity Data Engineering Nanodegree Project 3
Language:Jupyter Notebookmlincon / terraform-module-aws-redshift
Simplistic Terraform module for creating a AWS Redshift cluster to allow direct access programmatically or via a tool like DBeaver, pgAdmin, etc.
Language:HCLsudips413 / DataModelingCollectionWarehousingRedshift
The data is collected from IMDB and then transformed before loading to warehouse
Language:Jupyter Notebooksunnykan / sparkifydb_rs
A data warehouse on Amazon Redshift using a star schema to facilitate the analysis of user behaviour on a music streaming app.
Language:PythonTriceB / DS4A-DE-Group2_wnba-nba-salary-gap
Query-able API analyzing pay gap between WNBA and NBA by scraping multiple data sources utilizing Python and Beautiful Soup
Language:Jupyter Notebook
