> ## Documentation Index
> Fetch the complete documentation index at: https://notes.kodekloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Course: Data Engineering Fundamentals

> Introduction to data engineering, covering pipeline stages, tools, architectures, hands-on exercises, and best practices for building, automating, and operating reliable data systems for analytics and applications

Notes for the **Data Engineering Fundamentals** course: 8 lessons across 6 sections.

## Introduction

* [Course Introduction](/docs/Data-Engineering-Fundamentals/Introduction/Course-Introduction/page.md)
* [The Big Picture](/docs/Data-Engineering-Fundamentals/Introduction/The-Big-Picture/page.md)

## Ingesting Data

* [Ingesting Data](/docs/Data-Engineering-Fundamentals/Ingesting-Data/Ingesting-Data/page.md)
* [Demo Ingesting Data](/docs/Data-Engineering-Fundamentals/Ingesting-Data/Demo-Ingesting-Data/page.md)

## Transforming Data - Cleaning

* [Transforming Data Cleaning](/docs/Data-Engineering-Fundamentals/Transforming-Data-Cleaning/Transforming-Data-Cleaning/page.md)

## Transforming Data - Combining

* [Transforming Data Combining](/docs/Data-Engineering-Fundamentals/Transforming-Data-Combining/Transforming-Data-Combining/page.md)

## Automation and Orchestration

* [Automation and Orchestration](/docs/Data-Engineering-Fundamentals/Automation-and-Orchestration/Automation-and-Orchestration/page.md)

## Serving Data

* [Serving Data](/docs/Data-Engineering-Fundamentals/Serving-Data/Serving-Data/page.md)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.