What is a Database Management System (DBMS)?
#databasemanagement #dbms #dbmstutorials
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Chapters:
00:06 Introduction of DBMS
00:10 What is a Database Management System?
00:34 DBMS as an Intermediary
01:40 Example: Employee Table in DBMS
02:52 Example: Sales Table in DBMS
03:30 Conclusion
03:40 Closing Remarks
Welcome everyone to Educate Cube. Today, in Educate Cube, we will discuss what a database management system (DBMS) is. A database management system is software that provides an interface for interacting with a database and managing the storage, retrieval, and organization of data systematically. It acts as an intermediary between the database and the user or application programs, ensuring that data is consistently organized and remains easily accessible.
In simple terms, a database management system is an intermediary interface between an application program and a database. For example, suppose we have some data and a particular application. That application will definitely have some data, which we need to store in our SQL database. We need to create a flow to ensure that our data is regularly updated in the SQL database and that it is saved systematically and in an organized manner. This allows our analysts to analyze the data properly.
Let's take two examples. Imagine we have an employee table. Our HR head asks us to create an employee table. Whenever a new employee joins the organization, we need to save their details. When you join, you are usually asked to enter your data into a particular portal. This data is stored in the background, in the backend of the application, and then we need to store it in our database. We create a flow to ensure the data is stored systematically and properly, so that in the future, when we need to retrieve or use information from the employee table, we can easily do so.
Similarly, for a sales table, if the sales head has created an application where all the executives store their sales data, the sales head would want all that data to be transferred to the SQL database for easy analysis and retrieval. The data needs to be pushed into the organization’s system in an organized manner.
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