Introduction to Databases:
A database is an organized collection of data stored and accessed electronically. It is used to manage and organize large amounts of information in a structured and efficient manner. Databases can be used for various purposes such as data storage, record keeping, data analysis, and decision making.
Types of Databases:
Relational Databases:
Relational databases are the most common type of database and store data in a structured way using tables and columns. The data is stored in separate tables, and relationships between data are established using keys.
Non-Relational Databases:
Non-relational databases, also known as NoSQL databases, do not store data in tables and columns. Instead, they store data in a more flexible format that can accommodate unstructured or semi-structured data.
Hierarchical Databases:
Hierarchical databases store data in a tree-like structure, with each record having a parent-child relationship. They were popular in the 1970s and 1980s but have largely been replaced by relational databases.
Network Databases:
Network databases store data using a network model, with multiple many-to-many relationships between data. They were also popular in the 1970s and 1980s but have also been replaced by relational databases.
Database Management Systems:
A database management system (DBMS) is software that interacts with the database, allowing users to create, update, and retrieve data. The most popular types of DBMS include:
Relational Database Management Systems (RDBMS):
RDBMS are designed to manage relational databases and support SQL (Structured Query Language) for data retrieval and manipulation.
NoSQL Database Management Systems:
NoSQL database management systems are designed to manage non-relational databases and support a range of query languages and data retrieval methods.
Object-Oriented Database Management Systems (OODBMS):
OODBMS store data in the form of objects and support object-oriented programming languages such as Java and C++.
Database Design:
Database design is the process of creating a database that is optimized for performance, security, and scalability. The design process involves
several steps, including: **
**Requirements gathering:
The first step in designing a database is to understand the requirements of the system, including the types of data that will be stored and the relationships between data.
Conceptual design:
The conceptual design phase involves creating a high-level model of the database, including entities, relationships, and attributes.
Fundamentals of Coding for Non-Technical People: A Beginner’s Guide
Logical design:
The logical design phase involves creating a more detailed representation of the database, including tables, columns, keys, and relationships.
Physical design:
The physical design phase involves creating the actual database, including table and index creation, data storage, and optimization.
Database Security:
Database security is an important aspect of database management, as sensitive data such as personal information, financial information, and confidential business information is stored in databases. Some common security measures include:
Access control:
Access control measures are used to restrict access to sensitive data based on user privileges.
Data encryption:
Data encryption is used to protect sensitive data by encoding it into a format that can only be decrypted by authorized users.
Data backup and recovery:
Data backup and recovery measures are used to protect against data loss in the event of a disaster or system failure.
Monitoring and auditing:
Top comments (1)
Looks like you missed a part of your post when you added it in Dev :/