Free Download Relational Model Theory & Normalization
Published 8/2023
Created by Haris Kilikotu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 10m ) | Size: 230 MB
You will learn the theoretical foundation of all relational databases in this course.
What you'll learn
Understanding the relational model helps you grasp the concept of organizing data into structured tables with rows and columns.
Learning about constraints, keys, and normalization techniques in the relational model can help ensure data integrity and consistency.
Mastering the relational model equips you with the skills to write complex and efficient SQL queries
Learning the relational model aids in designing effective database structures, ensuring that data is organized logically and efficiently to meet specific needs.
Requirements
A fundamental understanding of mathematics is required, but there is no need for programming knowledge.
Description
The relational model is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by English computer scientist Edgar F. Codd, where all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.The relational model provides a clear and structured way to understand how data is organized and represented in a database. Learning this model helps you grasp the foundational concepts of tables, rows, columns, keys, relationships, and constraints.This course will take you through the fundamental concepts behind relations, relational algebra and normalization. How set theory has effectively been applied for the logical representation and manipulation of complex information.The relational model provides guidelines for structuring databases to accurately represent real-world relationships and dependencies. Learning about the relational model theory, which forms the foundation of relational databases, can offer several advantages, especially if you're involved in computer science, database management, or software development. It enables you to write complex queries to retrieve, filter, and manipulate data efficiently. This is essential for creating meaningful reports and insights from the data. Learning about normalization helps you design databases that are well-structured and maintainable.
Who this course is for
Both computer science students and data professionals can derive significant benefits from enrolling in this course.
Homepage
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