<h1 id="data-models">Data Models<a aria-hidden="true" class="anchor-heading icon-link" href="#data-models"></a></h1>
<ul>
<li>resources: 
<ul>
<li><a href="https://web.stanford.edu/class/cs520/2020/notes/What_Are_Graph_Data_Models.html">https://web.stanford.edu/class/cs520/2020/notes/What_Are_Graph_Data_Models.html</a>
<ul>
<li><a href="/wiki/notes/oHRXT4k2pnjwiuzWvMwGj">hasHighlight</a>
<ul>
<li>A graph data model is not the most appropriate choice when the application contains primarily numeric data, and the reliance on only binary relationships is limiting. For example, the relational model is more effective in capturing timeseries data such as evolution of the population of a country. Even though we can represent such data using a graph, but it results in a huge number of triples without necessarily giving us advantages of better conceptual understanding and/or faster query performance through graph traversals. There are many relationships that cannot be naturally represented using binary relations. For example, between relation that captures that an object A is between two other objects B and C is inherently a ternary relationship. A ternary relationship can be transformed into a set of binary relationships using the reification technique, but by doing so, we lose the advantage of better conceptual understanding that we get from the graph data model. Graphs are also not the most natural representation for mathematical equations and chemical reactions where easy to understand domain specific representations exist.</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
<hr>
<strong>Backlinks</strong>
<ul>
<li><a href="/wiki/notes/10cibfw52au9x66veslsrfh">Changing Perspective Embracing Temporal Modeling to Capture the Passage of Time </a></li>
</ul>

Data Models

public-notes


Welcome! And beware!  

## Purpose

This vault is the "[[learning-in-public|ar.swyx.learn-in-public]]" part of my Second Brain. If you share some of my interests, please [reach out](https://djradon.github.io)! 

## Contents

- [[t]] my personal wikipedia
- [[idea]] (not necessarily mine)
- Resource Notes, including highlights, thoughts and metadata, for various things:
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  - [[community]]
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In terms of the [[t.km.zettelkasten]] method, this wiki is a commingling of literature notes with something @Sönke-Ahrens warned about: a "personal Wikipedia or a database" [^1]. 

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[^1]: [[book.how-to-take-smart-notes]]  