Report and Database System The purpose of this assessment is to enable students to demonstrate their academic skills in the following: • Research on Database Trends and Technologies • Prepare Relational Model • Implement the model using Relational DBMS • Implement SQL on the created database
In today’s digital age, the need for efficient and reliable data management has become paramount. As organizations collect and analyze vast amounts of information, it is crucial to have effective database systems in place to store, retrieve, and manipulate data. This report aims to explore database trends and technologies, develop a relational model, implement the model using a Relational Database Management System (RDBMS), and demonstrate SQL implementation on the created database.
Database Trends and Technologies
Database technologies have evolved significantly over the years, adapting to the changing needs and demands of businesses. In recent years, there have been several notable trends in the database industry. One such trend is the rise of NoSQL databases, which offer flexible data models and scalability. NoSQL databases, such as MongoDB and Cassandra, are particularly suitable for handling semi-structured and unstructured data. Another trend is the adoption of in-memory databases, which store data in the main memory rather than on disk, resulting in faster data access and processing. Examples of in-memory databases include SAP HANA and Oracle TimesTen.
The relational model, introduced by E.F. Codd in 1970, remains one of the most widely used database models. It organizes data into tables composed of rows and columns, with relationships established through primary and foreign keys. Before implementing a relational model, it is essential to analyze the requirements of the system and identify the entities, attributes, and relationships that need to be represented. The process of conceptualizing the data model involves techniques such as entity-relationship diagrams and normalization.
Relational Database Management Systems (RDBMS) provide the necessary tools and functionality to implement and manage relational databases. Some of the popular RDBMSs include Oracle, MySQL, and Microsoft SQL Server. These systems offer features like data integrity enforcement, query optimization, and transaction management. When implementing a relational model using an RDBMS, the database schema needs to be defined, including the tables, their attributes, and the relationships between them. The schema can be created using SQL Data Definition Language (DDL) statements.
Implementation of SQL
Structured Query Language (SQL) is the standard language for managing and manipulating relational databases. SQL allows users to perform tasks such as creating tables, inserting and updating data, and querying databases to retrieve specific information. When implementing a database using SQL, it is crucial to consider data integrity constraints like primary and foreign key constraints, and enforce them through SQL statements. SQL also provides powerful query capabilities, allowing users to retrieve data based on specific criteria using SELECT statements.
In conclusion, this report has provided an overview of key concepts related to database trends and technologies, the relational model, implementing the model using RDBMS, and SQL implementation on created databases. Understanding these fundamental aspects is crucial in designing and managing effective database systems that meet the growing demands of organizations in the digital era. By employing these skills, students will develop the necessary expertise to contribute to the field of database management.