What Is Derived Data Types in Data Structure?


Scott Campbell

What Is Derived Data Types in Data Structure?

In data structure, a derived data type is a type that is derived from the fundamental or primitive data types. It is formed by combining the primitive types and organizing them in a specific way to create a new type. Derived data types are essential for solving complex problems and implementing efficient algorithms.

Types of Derived Data Types


An array is a derived data type that stores a fixed-size sequence of elements of the same type. It provides an organized way to store and access multiple values using a single identifier. Each element in the array can be accessed using its index, which starts from 0.


A structure is a derived data type that allows you to combine different types of variables under a single name. It enables you to create complex data structures by grouping related variables together. Each variable within the structure is called a member, and it can have its own data type.


A pointer is a derived data type that stores the memory address of another variable. It allows you to manipulate memory directly and efficiently, enabling advanced operations like dynamic memory allocation and passing parameters by reference.

Benefits of Using Derived Data Types

  • Code Organization: Derived data types allow you to organize your code more effectively by grouping related variables together.
  • Data Abstraction: They enable you to abstract complex concepts into simple representations, making your code more readable and maintainable.
  • Data Manipulation: Derived data types provide powerful tools for manipulating and accessing collections of values efficiently.
  • Memory Management: Pointers, a derived data type, allow you to manage memory dynamically and optimize resource utilization.


In summary, derived data types in data structure are an essential concept that allows programmers to create complex data structures by combining primitive types in a specific way. Arrays, structures, and pointers are some examples of derived data types that provide powerful tools for organizing code, abstracting complex concepts, manipulating data efficiently, and managing memory dynamically.

By understanding and utilizing derived data types effectively, programmers can develop more efficient algorithms and solve complex problems with ease.

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