Data Modeling for Mere Mortals — Part 2: Dimensional Modeling Fundamentals

<p>Do you know what is&nbsp;<em>probably</em>&nbsp;the best data model in the Business Intelligence world? Curious to learn the 4-step dimensional design process? This article will provide you with all the fundamentals of dimensional modeling</p> <p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*o_09Bn9OSXRUu-s60uR8yg.jpeg" style="height:467px; width:700px" /></p> <p><a href="https://www.pexels.com/de-de/foto/flachfokus-fotografie-von-gelben-sternlaternen-980859/" rel="noopener ugc nofollow" target="_blank">Photo by&nbsp;<strong>徐 at Pexels</strong></a></p> <p>In the&nbsp;<a href="https://data-mozart.com/data-modeling-for-mere-mortals-part-1-what-is-data-modeling/" rel="noopener ugc nofollow" target="_blank">previous article</a>, you learned the general principles of data modeling. Now, it&rsquo;s time to narrow down our learning journey and master data modeling concepts and techniques that are specifically relevant to business intelligence scenarios. And, whenever we&rsquo;re talking about data modeling for business intelligence, dimensional modeling is definitely the number one concept.</p> <p><a href="https://towardsdatascience.com/data-modeling-for-mere-mortals-part-2-dimensional-modeling-fundamentals-ae2f53622321"><strong>Click Here</strong></a></p>