Databases Design & Development Training Courses For CS / IT Students / Professionals

There are several important principles in relational database design, but one of the most crucial is the principle of normalization. Normalization is the process of organizing data into separate tables in order to minimize data redundancy and improve data integrity.

The most important aspect of normalization is to eliminate duplicate data by breaking down larger tables into smaller, more specialized tables that contain only the data relevant to a specific aspect of the data.

Data modeling is the process of creating a conceptual representation of data, data relationships, and data constraints. The goal of data modeling is to provide a clear and concise understanding of the data that an organization needs to store and manage, and how that data is related to one another.

A logical data model is a representation of the structure and organization of data independent of any specific database management system or technology. It defines the logical relationships and rules for how data elements are related to each other within an organization or system.

Yes, learning MySQL requires some basic coding knowledge, as you will need to write SQL (Structured Query Language) statements to interact with the database. SQL is a popular language, especially used for managing relational databases. To work with MySQL, you will need to understand the syntax and structure of SQL statements, as well as have a basic understanding of database concepts such as tables, columns, and relationships.

Relational Database Management Systems (RDBMS) and Non-relational (NoSQL) databases are both widely used for storing and managing data.

Some of the most popular RDBMS are as follows-

• MySQL: An open-source RDBMS widely used for web-based applications and online businesses.
• Microsoft SQL Server: A widely used RDBMS from Microsoft, used for developing and managing data-driven applications.
• Oracle Database: An enterprise-level RDBMS widely used for mission-critical applications.
• PostgreSQL: An open-source RDBMS is known for its strong support for SQL standards and its reliability.

Some of the most popular NoSQL are as follows-

• MongoDB: A popular NoSQL database that uses JSON-like documents to store data.
• Cassandra: A highly scalable NoSQL database designed to handle large amounts of data across many commodity servers.
• CouchDB: A NoSQL database that uses JSON to store data and HTTP to access data.
• Redis: An in-memory data store that can be used as a database, cache, or message broker.

These are just a few of the many popular RDBMS and NoSQL databases available. The choice of which database to use depends on the specific requirements of your application and the data you need to store and manage.