edX Online

Learn about relational database management systems with online courses

Relational database management systems (RDBMS) are used for managing structured data. The relational model defines how data elements are connected and who can access them. Learn how to use RDBMS software tools with courses delivered through edX.

What are relational database management systems?

Relational database management systems (RDBMS) are software tools widely used to manage and manipulate large and complex databases that follow the relational data model. Relational databases use tables to define how one piece of data connects to another within the database.

With RDBMS, database administrators and programmers can quickly and efficiently handle data storage, retrieval, and security management tasks. Some popular databases managed by RDBMS software include: Oracle Database, MySQL, Microsoft SQL Server, PostgreSQL, and MariaDB.1

By using relational database management systems, data professionals can better understand relationships between data points that can lead to more informed business decisions.

Browse online Relational Database Management Systems Certificates

Find new interests and advance your career opportunities

Stand out in your field

Use the knowledge and skills you have gained to drive impact at work and grow your career.

Learn at your own pace

On your computer, tablet or phone, online courses make learning flexible to fit your busy life.

Earn a valuable credential

Showcase your key skills and valuable knowledge.

Certificates

Related Topics

Relational database management systems course curriculum

If you want to learn about relational database management systems, it can help to have a basic understanding of computer science theory and programming. You can then move on to an introductory RDBMS course, where you might have lessons on:

  • Fundamentals of databases and relational databases: An overview of databases can teach about their importance to modern organizations. This may cover different relational database models and the basics of relational databases, such as the genealogy of relational database management systems.
  • Database schema design: Schema design influences the efficiency of your database. You might learn about data normalization, creating database tables, managing database users, and defining constraints.
  • SQL query design programming: Structured Query Language (SQL) is the standard query language for relational database management systems. You may learn how to write and design an SQL query to be able to manipulate data in a database.

At the intermediate level, relational database administration, advanced SQL design, and hands-on RDBMS implementation may be covered. Advanced RDBMS course curricula may include topics such as:

  • Complex data structures: Build complex data structures, compare object-relational database management systems (ORDBMS), and design advanced relational tables for specific business use cases.
  • Cloud databases and big data: Become fluent in cloud databases, a type of database used by many organizations. Expand your knowledge of Amazon Web Services (AWS) or Google Cloud Platform (GCP), for example.
  • Advanced database security: Learn about advanced security measures, including encryption, intrusion detection, and security auditing.

Start building the knowledge you need to work with databases with edX. From accelerated boot camps to comprehensive programs that allow you to earn a bachelor’s degree or, for more advanced learners, a master’s degree, there are many different learning formats available to fit your needs. Busy professionals can even take advantage of executive education courses tailored to those in leadership and management positions. Find the right course for you.

Explore jobs that use RDBMS

Many businesses in industries such as e-commerce, banking, and entertainment rely on relational database management systems (RDBMS) for efficient data management. Firsthand experience building and managing a database can provide the necessary skills for an entry-level job in different industries. However, further experience and education may be required for career advancement.

Here are some careers that can benefit from knowledge of relational database management systems:

  • Database administrator: Applies their advanced knowledge of designing, managing, securing, and auditing data using relational database management systems.2
  • Software developer: Uses programming languages and relational database management systems to create software. They may also use object-relational database management systems to know which type of database suits their software.3
  • Cryptographer: Applies encryption to secure sensitive data such as private emails, health records, and credit card information. They may also apply advanced mathematics and programming to create new security systems or to decipher coded data.4
  • Data scientist: Studies complex and large data sets to find trends and patterns. They also manipulate data using statistical and machine learning techniques, which may be stored in relational databases.5

Each of these roles will have different education and skill requirements. For example, you may be able to build relevant programming skills in a coding boot camp. However, some employers may seek candidates with or computer science. Research potential roles you would like to pursue before deciding on which learning path will align with your professional aspirations.

More opportunities for you to learn

We've added 500+ learning opportunities to create one of the world's most comprehensive free-to-degree online learning platforms.

    Frequently Asked Questions

    What are the types of relational database management systems?

    Relational database management systems (RDBMS) can be open-source or commercial. MySQL, and PostgreSQL, and SQLite are examples of open-source relational database management systems (RDBMS), while Oracle Database XE and Microsoft SQL Server are commercial databases.

    Which language is typically used by relational database management systems (RDBMS) to maintain data?

    The programming language typically used in relational database management systems is SQL (Structured Query Language). It operates on internally consistent mathematics, simplifying and streamlining the querying process.

    Why use relational database management systems?

    Database management systems are used to handle large amounts of structured data. They use the relational database design model, making them flexible, easy to use, and secure. They also have ACID (atomicity, consistency, isolation, durability) features which ensure data reliability and integrity.

    What makes relational database management systems so powerful?

    A relational database management system’s advanced SQL query capabilities make it a powerful tool for combining varied data points from multiple tables. This is integral to creating ad-hoc complex queries. Relational database management systems also support ACID properties to ensure that data is consistent.

    What is the most common relational database system?

    Some of the more popular relational database systems include MySQL, Oracle Database, and MariaDB. The RDBMS that works for your company will depend on your needs and the type of data being housed. Learning the benefits of different types of systems can help you determine the best option for organizational goals.

    What is an example of a relational database management system?

    MySQL is an example of an open-source RDBMS. Other relational database management systems include PostgreSQL, SQLite, SQL Server Express, Azure SQL, and Oracle Database.

    1. What Is a Relational Database (RDBMS)? Google Cloud. Retrieved May 16, 2023.

    2. Database Administrators and Architects. (2022). U.S. Bureau of Labor Statistics Occupational Outlook Handbook. Retrieved May 16, 2023.

    3. Software Developers, Quality Assurance Analysts, and Testers. (2023). U.S. Bureau of Labor Statistics Occupational Outlook Handbook. Retrieved May 16, 2023.

    4. How To Become a Cryptographer. (2022). Indeed. Retrieved May 16. 2023.

    5. Data Scientists. (2023). U.S. Bureau of Labor Statistics Occupational Outlook Handbook. Retrieved May 4, 2023.