RDBMS

Database Blunders: What You Must Avoid in RDBMS and Why-Avoid common RDBMS Pitfalls.

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Database Blunders: What You Must Avoid in RDBMS and Why-Avoid common RDBMS Pitfalls

In a relational database management system (RDBMS), there are several bad practices and database blunders what you must avoid in RDBMS and why for optimal performance and data integrity:

Common RDBMS Pitfalls – Database Blunders

1-Avoiding Unnormalized Data – Storing redundant data or not normalizing your database can lead to data inconsistencies, increased storage requirements, and difficulties in maintaining data integrity.

Example: Consider a database for a library. Instead of having a separate table for authors and storing author details in each book entry, normalize the data. Create an “Authors” table with author information and establish a relationship with the “Books” table using author IDs. This prevents redundant author data and ensures consistency.

Real Life Example: Consider an e-commerce platform where product details are duplicated in every order. If the product information changes, updating each order becomes cumbersome. Normalizing the data by having a separate “Products” table avoids redundancy.

Consequence of Not Following: Without normalization, a change in product details would require updating every order record, leading to data inconsistency and increased maintenance efforts.

Bad Way:

-- Storing redundant author information in every book entry
CREATE TABLE Books (
    BookID INT PRIMARY KEY,
    Title VARCHAR(255),
    AuthorName VARCHAR(255),
    Genre VARCHAR(50)
);

Good Way:

-- Normalizing data with a separate Authors table
CREATE TABLE Authors (
    AuthorID INT PRIMARY KEY,
    AuthorName VARCHAR(255),
    Bio TEXT
);

CREATE TABLE Books (
    BookID INT PRIMARY KEY,
    Title VARCHAR(255),
    AuthorID INT,
    Genre VARCHAR(50),
    FOREIGN KEY (AuthorID) REFERENCES Authors(AuthorID)
);

For detailed information follow this link: Why Avoiding Unnormalized Data is Crucial in RDBMS? Top 8 Bad Practice We Must Stop Doing.

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