An ETL pipeline that extracts data from S3, stages them in Redshift, and transforms data into a set of dimensional tables
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Updated
May 5, 2020 - Python
An ETL pipeline that extracts data from S3, stages them in Redshift, and transforms data into a set of dimensional tables
Data Warehouse with AWS Redshift and Visualizing data using Power BI
A collection of AWS Redshift SQL queries. Redshift is a Postgres SQL-based database powered by AWS. This repo consists of a set of helpful queries to run on a Redshift Database.
🚀 This is project employ AWS Redshift, S3, Glue, CloudFront, Lambda ... services to automate an ETL pipeline.
Implement ETL data pipeline that reads data from S3 bucket and loads data into AWS redshift using Airflow
My Bonafide Work Experience and Externship Projects I have undertaken
A data warehouse on Amazon Redshift using a star schema to facilitate the analysis of user behaviour on a music streaming app.
A sample application for connecting to redshift from Aws Lambda.
This repository contains code and documentation for the Amazon Redshift project, showcasing a data pipeline using Amazon S3. Explore how I manage and analyze large datasets in the cloud!
IMDB Movie Data ETL Pipeline using S3, Glue, Redshift, EventBridge, SNS
This project offers a robust data pipeline solution designed to efficiently extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. Leveraging a blend of industry-standard tools and services, the pipeline ensures seamless data processing and integration.
Simplified blueprints for building data pipelines with Amazon Redshift.
A CI/CD pipeline for an event source domain project with Redshift and dbt
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