What is a database management system (DBMS)? Tasks and advantages

Imagine you are standing in a huge video store and are surrounded by countless DVDs. The video store is in chaos and the films are not ordered according to any particular structure. How do you proceed if you are looking for a particular film? How do you find it quickly without going through all the shelves and searching through the DVD cases one by one?   

Most computers face a similar problem every day. The transactions in a bank, the customer data in a company or the location data in a warehouse – enormous amounts of new data are produced everywhere and at all times. Without a certain system of organisation, they seem to resemble a useless mountain of data. We explain to you how to bring structure into your data chaos with a database management system (DBMS) and save a lot of time as well as a lot of work.  

What is a DBMS? 

DBMS is the abbreviation for the bulky compound word database management system. But what is a database? What is a database system? And what does management have to do with it? Let’s start small.   

Hardly any computer or web application works today without a database system. Technological megatrends such as artificial intelligence or the Internet of Things ensure that we are experiencing a veritable data deluge. By 2025, an estimated 175 zettabytes of data will be created worldwide. For comparison: a 90-minute film requires about 500 megabytes of storage space. The amount of data in 2025 is equivalent to 350 trillion films – that’s a number with twelve zeros. Quite a lot of zeros, isn’t it? That’s exactly why data must be structured and put into a format that is readable for you. But how can data be stored in a structured way and made available to you as a user in the desired form? This is where DBMS come into play.  

DBMS are part of a database system, which consists of two core components: a database and a central administration interface, the DBMS. In the interaction of the two components, the database system enables you to store data in a structured way and to make it available in the desired form.   

While the physical data is stored in the database, the DBMS controls access to the database. Generally speaking, the DBMS is software. It works as an interface between you as a user and the application, and takes over the task of organisation and structuring. A DBMS helps you to quickly and easily gain knowledge from the stored data. To retrieve data from the database, there are special database languages. A well-known example is SQL (Structured Query Language). With the help of SQL, you can store, query and manage data records in the DBMS. 

What are the components of a DBMS?  

The DBMS enables you to access the database via an interface. However, you can only make database queries or use the data for other applications if you have the appropriate access rights. DMBS thus make an important contribution to security and data protection in your company.  

In order to store data in a structured way and make it accessible, the systems consist of various components. The main components are  

  • the data definition language  
  • the data manipulation language  
  • the data dictionary  

 

The data definition language (DDL) defines the actual structure of the database. You can create, change or delete individual objects such as references, relationships or user rights with the help of the definition language.  

The data manipulation language (DML) is used to edit the actual data. In this way, you can delete, insert, change or read out data records.  

The data dictionary has the task of providing all the information about the data stored in the database. This metadata, i.e. “data about data“, gives you information about the content of the various data in the data storage.  

What DBMS models are there?  

The way the DBMS structures and manages data depends on the database model. There are a variety of database models that are characterised by different properties.   

The most common is the relational database model. Here you organise data in the form of tables. Each row forms a so-called entity, for example a film. Each entity has certain properties that you can read in the table columns. In our example, each film has a number of different attributes, such as title, genre or length. The advantage of relational databases is that a wide variety of relationships between data can be mapped and represented by values in table columns. It is important that you clearly distinguish the individual entities. To do this, you assign a so-called unique primary key to each row. In our example, this is a film ID that was generated automatically.

 

Figure 1: Data storage in the relational database model  

 

The procedure is different with a hierarchical database model. Here, the data are related to each other in a kind of parent-child relationship. This model is represented by a hierarchical tree structure, which allows you quick read access. The top hierarchical level, the so-called root of the tree, represents the entire film collection in our example. In the individual leaves of the tree you will find the films and the attributes of the individual films.

 

Figure 2: Data storage in the hierarchical database model 

 

Relational or hierarchical database models store structured data. But what happens when you want to manage unstructured data such as images or audio files? This data and information cannot be stored in the form of tables. So-called NoSQL databases were developed for this case. Here you organise the data in the form of key-value pairs.   

Why are DBMS important and what advantages do they offer?

As the cornerstone of database systems, DBMSs offer many advantages. Without the DBMS, you could neither manage nor control your database. In particular, it makes it easier for you to manage large data sets. Through structuring, you can access stored data easily and quickly. In addition to high flexibility, the DBMS also regulates user access and can support you and your company in data protection.

Let’s get back to our chaotic video library. Wouldn’t it be helpful if the DVDs were also organised according to a certain model? For example, we could assign a unique Movie ID to the films and then sort them in ascending order on the shelves. Now, when you are looking for a certain film, you know exactly where and how to find it.

As we all know, order is half the battle. Would you also like to systematically organise your mountains of data? Simply contact us here. We will be happy to help you and support your company in quickly and easily drawing the right conclusions from your valuable company data. 

Share on facebook
Share on twitter
Share on linkedin
Share on xing
Rebecca Marzahn
Rebecca Marzahn
Rebecca is a StackFuel veteran. She has been on board for more than 2 years now, assisting our marketing and sales department. When she’s not writing social media or blog posts, she skillfully juggles between tasks for the two departments. As the real power woman that she is, she’s also in the final stages of her Master's degree. In her free time, Rebecca has a passion for dog sports and enters contests with her two dogs.

Ähnliche Beiträge

Datenbasiertes Entscheiden in Unternehmen - Data driven Managment
Data Skills

Data Literacy: How can companies act in a data driven way?

Many companies are sitting on a treasure trove that they are guarding but not using. Although they have been diligently collecting data for years, companies often fail to turn it into insights and incorporate it into their business decisions. That’s because they don’t know what it takes to make it happen and how to embed a data driven focus throughout their organization.

Weiterlesen »
Data Analyst at work
Data Skills

How to become a Data Analyst

The data analyst profession is often misunderstood. Almost everyone has heard of it, but hardly anyone knows what really lies behind the coveted job title. In our article, we clear up the clichés and reservations and show you what the day-to-day work of a data analyst can look like and what skills you really need to get started.

Weiterlesen »
Deutsche Bahn und StackFuel gewinnen eLearning Award 2021
Data Heros

eLearning Award 2021: On the winner’s podium with data skills

Winners! With their joint project “Competent personnel for a strong track”, Deutsche Bahn and StackFuel won the eLearning Award 2021 in the category Competence Development. The large-scale training project for company-wide data competencies paves the way for a digital and data-driven “strong track” for the corporate giant.

Weiterlesen »
Über StackFuel

StackFuel ist Deutschland führender Anbieter für zertifizierte Online-Weiterbildungen und -Umschulungen in Data Literacy, Data Science und KI. Zur Bewältigung der digitalen Transformation und der bevorstehenden Qualifikationslücke im Bereich Daten und KI unterstützt StackFuel Unternehmen, Mitarbeitende effektiv und effizient in zukünftige Jobrollen weiterzuentwickeln. Die innovativen Online-Trainings bieten Teilnehmenden eine moderne und flexible Lernerfahrung mit einer interaktiven und Cloud-basierten Lernumgebung, in der sie mit Industriedatensätzen selbstständig Algorithmen entwickeln.

Newsletter

Subscribe to our newsletter and stay updated to our trainings and the latest L&D trends!

Mit Absenden des Formulars habe ich die Datenschutzerklärung und AGB zur Kenntnis genommen. Ich bin damit einverstanden, dass mir StackFuel E-Mails mit Angeboten und Neuigkeiten sendet.

Meistgelesene Beiträge
Datenbasiertes Entscheiden in Unternehmen - Data driven Managment
Data Skills
Laura Redlich

Data Literacy: How can companies act in a data driven way?

Many companies are sitting on a treasure trove that they are guarding but not using. Although they have been diligently collecting data for years, companies often fail to turn it into insights and incorporate it into their business decisions. That’s because they don’t know what it takes to make it happen and how to embed a data driven focus throughout their organization.

Weiterlesen »
Data Analyst at work
Data Skills
Laura Redlich

How to become a Data Analyst

The data analyst profession is often misunderstood. Almost everyone has heard of it, but hardly anyone knows what really lies behind the coveted job title. In our article, we clear up the clichés and reservations and show you what the day-to-day work of a data analyst can look like and what skills you really need to get started.

Weiterlesen »
Deutsche Bahn und StackFuel gewinnen eLearning Award 2021
Data Heros
Laura Redlich

eLearning Award 2021: On the winner’s podium with data skills

Winners! With their joint project “Competent personnel for a strong track”, Deutsche Bahn and StackFuel won the eLearning Award 2021 in the category Competence Development. The large-scale training project for company-wide data competencies paves the way for a digital and data-driven “strong track” for the corporate giant.

Weiterlesen »
Blogbeitrag Women in Data
Data Skills
Laura Redlich

Women in Data: Germany’s status-quo in 2021

Women are still outnumbered in the data world in 2021. Yet mixed-gender teams deliver more innovation, revenue and efficiency. For International Women’s Day we’re discussing why more women should be seeking data jobs and why companies should encourage encourage women to enter the field.

Weiterlesen »