9. Understanding the N+1 Selects Problem with Code Examples
   Here's a breakdown of the problem:N+1 Queries:When you fetch an object from the database using ORM, you typically retrieve the object's immediate properties
10. Untangling the Web: Unveiling ORMs and ODMs in Database Interactions
    Relational Databases: These databases store data in tables with predefined structures and relationships between them. Think of it like filing cabinets with labeled folders and interconnected documents
11. Choosing the Right ORM for Your Node.js and MySQL Project
    MySQL is a popular open-source relational database management system (RDBMS) used for storing and managing structured data
12. SQLAlchemy ORM: Filter Records Based on 'NOT LIKE' Criteria
    In SQLAlchemy, the Object-Relational Mapper (ORM) allows you to work with database objects using Python classes. The "NOT LIKE" operator is used in SQL queries to filter results that don't contain a specific pattern within a text column
13. Bridging the Gap: Using Object-Relational Mappers (ORMs) for Easier Database Access
14. Mocking the Database: A Powerful Approach for Unit Testing Database Interactions
    A structured storage system that holds information in a way that allows efficient access, retrieval, manipulation, and deletion
15. Object-Relational Mapping in PHP: A Bridge Between Code and Databases
    PHP (Hypertext Preprocessor) is a widely used general-purpose scripting language for web development. It's known for its ease of use
16. Entity Objects to the Rescue: Simplifying Database Access in Your Application
    Databases store information in tables with rows and columns. Each row represents a record, and columns define the data points within that record
17. Bridging the Gap: Functional Data Structures and Relational Databases in Haskell
    Traditional ORMs:In languages like Java or Python, ORMs create a layer of abstraction between your code and the database