> For the complete documentation index, see [llms.txt](https://data-engineering-zoomcamp-2025-t.gitbook.io/tinker0425/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://data-engineering-zoomcamp-2025-t.gitbook.io/tinker0425/module-3/introduction-to-module-3.md).

# Introduction to Module 3

{% hint style="info" %}
You will have 1 week to complete Module 3
{% endhint %}

:exclamation:Homework is due 2/12/25 (Alaska local time) -  <https://courses.datatalks.club/de-zoomcamp-2025/>

:books: Module 3 Course Material from #zoomcamp:

{% @github-files/github-code-block url="<https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/03-data-warehouse>" %}

<figure><img src="/files/K1OipDa0vqIOKWLNsUVS" alt=""><figcaption><p><a href="https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/images/architecture">https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/images/architecture</a></p></figcaption></figure>

#### :writing\_hand: This module on Data Warehouse will focus on <mark style="background-color:blue;">BigQuery</mark>. We will learn about it's user interface, it's internals, and using partitioning and clustering.

:bookmark: These are the slides used for all lessons in Module 3 - <https://docs.google.com/presentation/d/1a3ZoBAXFk8-EhUsd7rAZd-5p_HpltkzSeujjRGB2TAI/edit#slide=id.p>

<table data-view="cards"><thead><tr><th></th><th></th><th></th></tr></thead><tbody><tr><td>3.1 -<a href="/pages/QZyKr58vZeFKEzcLAAKG"> Data Warehouse, Partitioning and Clustering</a></td><td></td><td></td></tr><tr><td>3.2 - <a href="/pages/yZIrAbIRm455R5Sh57Bx">BigQuery Internals and Best Practices</a></td><td></td><td></td></tr><tr><td>3.3 -<a href="/pages/qK7fJUWcSxeM5LELU4IN"> Machine Learning</a></td><td></td><td></td></tr><tr><td><a href="/pages/CwZR47XmEN2seIxaBSdi">Homework</a></td><td></td><td></td></tr></tbody></table>


---

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