00:02 📚 Introduction to RDBMS and its Basic Terminology RDBMS stands for Relational Database Management System. Data is organized in tables (relations) composed of rows and columns. Modern software often utilizes RDBMS for data management. Key terminologies include relation (table), tuples (records), attributes (columns), data cells (intersections), and more. Understanding these basics is crucial for working with RDBMS. 02:00 🗂 Relations (Tables) in RDBMS In RDBMS, relations are synonymous with tables. Tables organize data into rows and columns. Each row represents a tuple or record. Example: A student table stores student IDs, names, and percentages. Tables make data organization and access efficient. 03:48 📦 Tuples (Records) in RDBMS Tuples are individual rows or records in a table. Tuples should not contain duplicate values. Each tuple follows a consistent format. Example: Student details are organized into tuples. Tuples are essential for data integrity and consistency. 05:41 📝 Attributes (Columns) in RDBMS Attributes are columns in a table. Each attribute must have a unique name. One attribute is designated as the primary key for uniqueness. Example: Student ID, Student Name, and Percentage are attributes. Attributes help define the structure of the data. 08:13 🧱 Data Cells (Intersections) in RDBMS Data cells are intersections of tuples and attributes. They contain actual data values. Data cells should be atomic, meaning they have a single value. Example: Each cell in the table represents a specific data point. Atomic data cells ensure consistency and simplicity. 10:18 📊 Cardinality and Degree in RDBMS Cardinality refers to the number of tuples or rows in a table. Degree is the number of attributes or columns in a table. Example: A student table may have a cardinality of 3 and a degree of 3. Cardinality and degree help describe the size and structure of the data. 12:07 🌐 Domain in RDBMS Domain represents the possible values an attribute can have. It defines the valid range of values for an attribute. Example: The domain for a percentage attribute is 0 to 100. Domains ensure data accuracy and integrity. 13:16 🚫 Null Values in RDBMS Null values represent missing or unspecified data. They are not the same as 0 or empty spaces. Null values indicate that data is not available. Example: If a cell is left blank during data insertion, it's considered a null value. Understanding null values is crucial for data quality assurance.

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What is tuples

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Student name primary key auvtada

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