Normalization In SQL | SQL Normalization Tutorial | Database Normalization Forms | Simplilearn

🔥Data Scientist Masters Program (Discount Code - YTBE15) - www.simplilearn.com/big-data-and-analytics/senior-… 🔥IITK - Professional Certificate Course in Data Science (India Only) - www.simplilearn.com/iitk-professional-certificate-… 🔥Caltech Post Graduate Program in Data Science - www.simplilearn.com/post-graduate-program-data-sci… Normalization in SQL is a fundamental concept of database design. In this video, you will learn the basics of normalization and understand the different types of keys in a database. You will look the various types of normal formals and address issues such as partial dependency and transitive dependency. You will understand how 1NF, 2NF, 3NF and BCNF can solve these issues, reduce redundancy and help achieve data integrity. The below topics are covered in this video: 00:00 What is Normalization? 02:04 What is a Key? 03:40 Types of Keys 07:25 Types of Normal Forms 07:42 1NF 08:58 2NF 12:53 3NF 14:50 BCNF ✅Subscribe to our Channel to learn more about the top Technologies: bit.ly/2VT4WtH To access the slides, click here: www.slideshare.net/Simplilearn/normalization-in-sq… ⏩ Check out the SQL training videos:    • What is SQL | Introduction to SQL | S...   #NormalizationInSQL @SQLNormalizationTutorial #DatabaseNormalizationForms #SQL #SQLForBeginners #SQLTutorial #SQLCourse #SQLTraining #Simplilearn What is Normalization in DBMS? The Normalization theory was first explained by IBM researcher E.F. Codd in the 1970s. In a database, a large amount of data is stored in different tables. There can be the possibility of redundancy being present in the data. So normalization aims to eliminate this redundancy from the data and ensures data integrity. Using normalization techniques, you can split a large table into smaller tables and define relationships between them to enhance the clarity in organizing data. It also removes anomalies like Insert, Update and Delete Anomalies. What is SQL? SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. SQL became the de facto standard programming language for relational databases after they emerged in the late 1970s and early 1980s. You can also permit users to perform specific tasks on tables, procedures, and views. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL). ➡️ About Post Graduate Program In Data Analytics This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects. ✅ Key Features Post Graduate Program certificate and Alumni Association membership Exclusive hackathons and Ask me Anything sessions by IBM 8X higher live interaction in live online classes by industry experts Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc. Master Classes delivered by Purdue faculty and IBM experts Simplilearn's JobAssist helps you get noticed by top hiring companies Resume preparation and LinkedIn profile building 1:1 mock interview Career accelerator webinars ✅ Skills Covered Data Analytics Statistical Analysis using Excel Data Analysis Python and R Data Visualization Tableau and Power BI Linear and logistic regression modules Clustering using kmeans Supervised Learning 👉 Learn More at: www.simplilearn.com/pgp-data-analytics-certificati… 🔥Caltech Data Analytics Bootcamp(US Only): www.simplilearn.com/data-analytics-bootcamp?utm_ca… 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +1844

• #
• #1_nf
• #2_nf
• #advantages_of_normalization
• #boyce_codd_normal_form
• #candidate_key
• #data_integrity
• #data_redundancy
• #database_normalization
• #database_normalization_forms
• #first_normal_form
• #foreign_key
• #how_normalization_works
• #how_to_normalize_tables
• #normalization_in_dbms
• #normalization_in_sql
• #primary_key
• #second_normal_form
• #simplilearn
• #simplilearn_sql
• #sql_normalization_tutorial
• #sql_tutorial
• #super_key
• #third_normal_form
• #types_of_keys
• #what_is_a_key_in_a_table