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By Alberto Jessurun / November 16, 2022 / Blog

How Do Database Management Systems Work?

Everything You Need to Know About Database Management Systems

Key Takeaways
  • Database management systems (DBMSs) allow users to extract and manipulate the data in a database
  • They help organizations normalize, structure, and keep data more secure
  • Relational DBMSs are the most popular data-keeping systems
  • Compared to traditional file systems, adopting a relational DBMS is the smart move for organizations that want more flexibility, efficiency, or an advanced backup system
The modern data environment is characterized by rapidly increasing data volume and diversity, making it challenging for organizations to manage their data. 

For the competitive (and indeed any) organization, an efficient database management system is the most plausible solution. It simplifies document management and improves data accessibility.

This insightful guide explores what DBMSs are, how they work, and their role in helping you achieve your organizational goals.

What is a database management system?

A database management system, commonly referred to DBMS, is a software application that allows users to interact with an organized collection of data. 

In its most basic form, a DBMS is a tool that helps users create, read, store, retrieve, update, delete, and run queries on data in a database.

From a business perspective, DBMSs help organizations enhance data integrity, security, concurrency, and uniformity by allowing them to manage the data, database engine, and structure. The following are some examples of database management systems in action.

Data normalization

One of the challenges of handling data and databases is the risk of duplication, especially with multiple concurrent users. DBMSs use a process known as  to eliminate destructive anomalies in your system. This database schema design technique splits large tables into smaller ones whenever attributes have redundant values. As a result, your data are more consistent and easier to update.

Put another way, database normalization optimizes data organization, improves access time, and saves storage.

Data structuring

Database management systems help your organization arrange data in a clear structure. For example, you can systematically organize tables, objects, and records to make them more accessible.

Security 

DBMSs use essential security controls such as user authentication, data encryption, and user authorization to protect the integrity of your database, ensure authorized users don’t cause accidental damage to the database, and prevent data breaches.

As the system administrator, you can define access policies, configure user accounts, and modify access scopes and restrictions. These operations help you limit, control, and manage database access.

Data backup

Most computerized data-keeping systems support physical and logical data backup to protect your organization’s database against data loss. You can store a copy of all your files on-site or move them to the cloud. Moreover, database management systems provide a recovery platform, allowing you to reconstruct a database (fully or partially) in case of data corruption or data loss.

Performance tuning

Database management systems use integrated monitoring tools to help you analyze performance. After analyzing the system’s performance, you can easily create optimized indexes to tune the database. Performance tuning helps you reduce infrastructure and operation usage and optimize SQL queries.

Classification criteria of DBMSs

The three most common classification criteria of database management systems are database distribution, data model, and user numbers.

1. Database distribution

Generally, DBMS distribution systems fall under the following classes:
  • Centralized systems: The database and DBMS are stored at a single site that serves other systems.
  • Distributed systems: The DBMS software and database is distributed over multiple sites through a computer network. They can be homogeneous (identical DBMS software across multiple sites) or heterogeneous (different software for different sites).
  • Parallel network systems: Multiple data storage disks and central processing units are held in parallel. They provide greater processing output and input speeds and are ideal for running queries on large databases.
  • Client-server systems: In these systems, the DBMS software runs on the server, handling tasks such as database access and updates. The DBMS tools and applications run on the client platforms, processing client requests and returning results to them.
Although they function differently, these distribution systems for database systems all serve to classify the database management system.

2. Data model

Traditionally, organizations used hierarchical and network data models for their database management systems.

Hierarchical data models store data in a tree-like structure, allowing one-to-one and one-to-many relationships among parent-children nodes. In this model, each child node has a single parent node, but the parent node can have multiple child nodes. 

Network data models allow many-to-many relationships between data, mitigating any shortcomings of the hierarchical model. 

Due to the complexity of both models, their applications are limited to mainframe platforms. A relational database is your best bet if you are considering adopting a DBMS to streamline your organization’s operations.

Relational models organize data in tables and demonstrate relationships between tables using primary, unique, and foreign keys. They allow your organization to run SQL queries to optimize workflows, gain insights, and discover new opportunities. Relational DBMSs are ideal for flexibility, scalability, and managing substantial data volumes. 

Other benefits of relational DBMSs are their user-friendly interface, ease of implementation, and enhanced system performance. The most popular relational DBMSs are IBM Db2, Microsoft SQL Server, and Oracle Database.

Object-oriented data models present data as objects, just like in object-oriented programming. They combine object-oriented programming language capabilities with database capabilities, allowing objects to have properties, fields, and methods. Object-oriented DBMSs use raw data and require less code and maintenance.

While they significantly boost efficiency, object-oriented DBMSs aren’t as prominent as relational systems. Examples of object-oriented database management systems include Jasmine, ObjectStore, and O2.

3. User numbers

A database management system can also be classified according to how many people can use it concurrently. It can be multiuser, allowing simultaneous use, or single user, supporting one user at a time.

Who should use a database management system?

Every organization needs a DBMS. With the right techniques, database management systems are the best way to keep data organized and easily accessible. Which is why you need a reliable partner like Unisol. 

Unisol is a responsive, customer-oriented technology company based in Miami. We offer specialized services in electronic security, telecommunications, professional audiovisual distribution and turnkey project deployment to businesses within the U.S. and globally.

Our technology products fully comply with regulatory issues, including trade regulations and export licenses within our industry. Contact us today to learn how our professionally trained project managers can help you deploy and manage your DBMS for success.

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