Database Management System












Data is the cornerstone of any modern software application, and databases are the most common way to store and manage data used by applications.

With the explosion of web and cloud technologies, databases have evolved from traditional relational databases to more advanced types of databases such as NoSQL, columnar, key-value, hierarchical, and distributed databases. Each type has the ability to handle structured, semi-structured, and even unstructured data.

On top of that, databases are continuously handling mission-critical and sensitive data. When this is coupled with compliance requirements and the distributed nature of most data sets, managing databases has become highly complex. As a result, organizations require robust, secure, and user-friendly tools to maintain these databases.

This is where database management systems come into play—by offering a platform to manage databases. Let’s take a look.

The typical DBMS tasks or functions include:User access and control. Administrators can easily configure user accounts, define access policies, modify restrictions and access scopes to limit access to underlying data, control user actions, and manage database users.

Data backups and snapshots. DBMS can simplify the database backup process through a simpler and straightforward interface for managing backups and snapshots. For safekeeping, users can move these backups to third-party locations, such as cloud storage.

Performance tuning. DBMS can monitor database performance using integrated tools. Users can tune databases by creating optimized indexes to reduce I/O usage and optimize SQL queries for the best database performance.

Data recovery. DBMS provides a recovery platform and the necessary tools to fully or partially restore databases to their previous state—effortlessly.

Database query language and APIs. Access and use data via a variety of query languages and API connections.

Data dictionary management. Dictionaries include metadata about the structure of the data and relationships between data points so that functionality can rely on structural abstractions rather than complex coding.

Data transformation and display. DBMS transforms data on command, such as assembling attributes for the month, day and year as December 14, 2024, or 12/14/24 or another specified display format.

Management of data integrity. DBMS establishes and maintains data consistency and minimizes duplications.

User access. This policy permits more than one user to access the database at a time and follows ACID to accommodate multiple users.

User interface. Whether accessing data through a web form, a direct dashboard, or a third-party distributed network, a browser-based interface makes it easy.


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