{"id":4225,"date":"2023-02-14T05:42:44","date_gmt":"2023-02-14T05:42:44","guid":{"rendered":"https:\/\/www.biconnector.com\/blog\/?p=4225"},"modified":"2023-05-18T05:17:26","modified_gmt":"2023-05-18T05:17:26","slug":"data-modeling-and-its-importance-in-data-analytics","status":"publish","type":"post","link":"https:\/\/dev.biconnector.com\/blog\/data-modeling-and-its-importance-in-data-analytics\/","title":{"rendered":"What is Data Modeling? Why is it crucial for Data Analytics?"},"content":{"rendered":"\n
Data Modeling is an important concept to understand when dealing with structured data. A strong understanding of the basics of data modeling will make your workflow more efficient and help you stand out from others. <\/p>\n\n\n\n
While data modeling is usually one of the prime responsibilities of a database architect, it is also crucial for a data analyst to understand the basics of data modeling to effectively gather valuable insights. In fact, data analysis tools like Power BI, Tableau, etc come with drag-and-drop data modelers that let you create data relationships in a few clicks. However, one must understand the basic terminology and concepts of data modeling, to make the best use of such powerful features. <\/p>\n\n\n\n
This article will provide a detailed overview of data modeling, its types, and its importance for a data analyst.<\/p>\n\n\n\n
Data Modeling is a set of techniques and processes for structuring data and establishing relationships between various attributes in data. An attribute is a column name in a table within the data. For instance, take a look at the table below which shows sales for a restaurant:<\/p>\n\n\n\n