1. What is Data?
👉 Definition: Data is raw facts and figures which by itself may not have meaning.
✅ Example:
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Numbers:
50, 70, 90
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Words:
"Kiran"
,"Bhadrak"
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Date:
09-10-2025
These are just values, not yet processed.
2. What is Information?
👉 Definition: Information is processed or organized data that gives meaning and is useful for decision-making.
✅ Example:
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Data:
50, 70, 90
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Information: “The average score of the student is 70 marks.”
Here, data is analyzed → becomes meaningful.
3. What is a Database?
👉 Definition: A database is an organized collection of related data stored in a structured form so that it can be easily accessed, managed, and updated.
✅ Example:
A Student Database:
Roll No | Name | Class | Marks |
---|---|---|---|
101 | Riya | 10 | 85 |
102 | Kiran | 10 | 78 |
103 | Jyoti | 10 | 92 |
This database stores student details systematically.
4. What is a Relational Database?
👉 Definition: A relational database stores data in the form of tables (rows and columns), and tables can be related to each other using a key.
✅ Example:
Table 1: Students
StudentID | Name | Class |
---|---|---|
1 | Riya | 10 |
2 | Kiran | 10 |
Table 2: Marks
MarkID | StudentID | Subject | Marks |
---|---|---|---|
201 | 1 | Math | 85 |
202 | 2 | Math | 78 |
Here, StudentID connects both tables.
That’s why it’s called a Relational Database (like MySQL, Oracle, PostgreSQL).
5. What is DBMS (Database Management System)?
👉 Definition: A DBMS is software used to create, store, organize, and manage databases.
✅ Examples:
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MySQL
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Oracle
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MS Access
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PostgreSQL
👉 Use Case Example:
In a school DBMS, teachers can:
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Add student details
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Update marks
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Search for results
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Generate reports
✅ Summary in One Line:
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Data = raw facts (e.g., "90, 85").
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Information = processed data (e.g., "Average = 87.5").
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Database = organized collection of data (tables).
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Relational Database = database with related tables (via keys).
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DBMS = software to manage databases.
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