This is a complete guide for anyone to understand Database Normalization in SQL. I will not just explain the Normalization concepts but also show you step by step process of normalizing a de-normalized dataset taken from Kaggle by following the different levels of normalization (Normal forms).

The video is divided into 3 sections:
In the first section, I will explain the basic concepts of normalization and the different levels of normalization (different normal forms), and some key points you need to know to better understand normalization.
In the second section, I will explain all the above concepts in detail with proper examples. We shall use a de-normalized dataset taken from Kaggle for illustration purposes. We shall follow different normal forms to normalize the Kaggle dataset which should give a complete understanding of how to normalize any dataset.
Finally, in the third and last section, I shall explain the different anomalies that exist in a de-normalized dataset such as insertion, updation, and deletion anomalies. We shall also see how a normalized database can overcome these anomalies.

Timestamp:
00:00 Intro
00:46 1. What is Normalization
03:12 Different levels of Normalization
05:14 2. Step-by-Step Normalizing a dataset
07:35 First Normal Form (1NF)
12:44 Second Normal Form (2NF)
25:59 Third Normal Form (3NF)
32:42 3. Different Anomalies (Insertion, Updation, Deletion Anomalies)
37:10 Deletion Anomalies
39:08 Updation Anomalies


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