by lochan2014 | Apr 7, 2024 | SQL
Normalization and denormalization are two opposing database design techniques aimed at achieving different goals. Let’s explore each concept: Normalization: Normalization is the process of organizing the data in a database to minimize redundancy and dependency.... by lochan2014 | Apr 15, 2024 | SQL
SQL (Structured Query Language) supports various data types to represent different kinds of data. These data types define the format and constraints of the data stored in each column of a table. Here are some common SQL data types: Numeric Types: INT: Integer type,... by lochan2014 | Nov 6, 2024 | SQL
CRUD stands for Create, Read, Update, and Delete. It’s a set of basic operations that are essential for managing data in a database or any persistent storage system. It refers to the four basic functions that any persistent storage application needs to perform.... by lochan2014 | Apr 7, 2024 | SQL
Designing a well-structured and efficient database schema in SQL involves several steps and considerations. Here’s a comprehensive guide to help you design a database schema that meets your application requirements while ensuring efficiency, scalability, and... by lochan2014 | Apr 7, 2024 | SQL
Optimizing SQL performance is crucial for ensuring that database operations are efficient and scalable. Here are some steps you can take to optimize SQL performance: Indexing: Proper indexing can significantly improve query performance. Identify columns frequently... by lochan2014 | Apr 15, 2024 | SQL
What is database structure? A database structure is the blueprint that defines how data is arranged ,organized, stored, accessed, and managed within a database. It’s the underlying framework that ensures efficient data handling, minimizes redundancy, and...