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Amazon-Redshift_S3-Data_Pipeline

Welcome to the documentation repository for my Amazon Redshift Project! This repository contains detailed information about the project, including setup instructions, usage guidelines, and insights into data analysis processes.

S3 Redshift

Overview

The Amazon Redshift Project is aimed at demonstrating effective data management and analysis using Amazon Redshift, a fully managed data warehouse service in the cloud. The Amazon_RedShift_Project_Documentation pdf file is divided into four main parts:

  1. Introduction: Provides an overview of the project objectives and outlines the contents of the documentation.

  2. Preparation of the Environment: Details the setup process, including creating a virtual private cloud (VPC), setting up subnets, creating an Amazon S3 bucket, and configuring IAM roles and security groups.

  3. Interaction with Amazon Redshift: Explains how to create a Redshift cluster, configure database tables, import data from S3, and run queries using the Redshift query editor.

  4. Conclusion: Summarizes the project outcomes and discusses future considerations.

Infrastructure as Code (IaC)

For those interested in replicating my cloud infrastructure setup, I provide Infrastructure as Code (IaC) files in the Amazon-Redshift_S3-Data_Pipeline directory. You can find both YAML and JSON formats of my cloud formation stack templates, enabling easy deployment and scalability.

Deployment Instructions

  1. Clone this repository to your local machine.
  2. Navigate to the Amazon-Redshift_S3-Data_Pipeline /Project's_Code files directory.
  3. Choose the appropriate cloud formation stack template (YAML or JSON) for your deployment.
  4. Deploy the stack using the AWS CloudFormation console or CLI. Refer to the AWS documentation for detailed instructions on deploying CloudFormation stacks.

How to Run this project in your own environment

Clone the Repository:-

git clone http://github.com/kevinndungu-source/Amazon_Redshift_S3_Data_Pipeline