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Airflow DAGs Project

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Overview

This repository contains a collection of Apache Airflow DAGs used to automate various data workflows. Each DAG is designed to perform specific tasks related to data extraction, transformation, loading, and orchestration. This README provides an overview of the project, how to set up Airflow, and how to use these DAGs effectively.

Table of Contents

Getting Started

Prerequisites

Before using these Airflow DAGs, make sure you have the following prerequisites:

  • Apache Airflow installed and configured.
  • Python 3.6 or higher.
  • Any additional dependencies specific to the tasks performed by the DAGs.

Installation

  1. Clone this repository to your local machine:

     https://github.com/kevin-krause/airflow-dag-model.git

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