Skip to main content

What is Data Structure and Types of data structure

Data Structure is an organized way to store the data through various Linear and Non-Linear ways . Data structures Algorithms are the initial stage to start for programmers of any kind like desktop softwares , mobile applications or web applications . Data Structures contains various algorithms to complete different kind tasks in the programming practicals .

What is Data Structure and Types of data structure

Some of the very popular and useful concepts for the structuring of data in the programmes are –

1.    Arrays – Arrays are the collection of the same type of data types . If an element stored in array is Integer type , definitely all other of Integer Data types .
All the elements stored in an array are numbered from index 0 to n-1 . This array block covers a block in the memory keeping together its elements at one place . It is a Linear data type structure .

2.    Linked Lists – Linked Lists store the data elements in the same way as an array does but linked list can store the elements at different-different positions in the memory and , link them to access when the program needs , that’s why this method of storing the data in memory is called Linked List .
Link list does not cover a memory block to store elements rather than stores the elements at the different memory locations So We can skip the Low Memory Availability problems by using Linked Lists concept . It is also a Linear data type structure .

3.    Stacks – If we choose the LIFO way to store elements in memory , It is Stack . Here LIFO stands for Last In First Out . In this strategy a Pointer variable used to show the top element of the stack . If an element added then pointer increments by one else decrements by one . It is also a Linear data type structure .

4.    Queues – This concept uses the FIFO strategy to store the data elements in the memory . Here FIFO stands for First In First Out , means the first entered element can leave first from the queue . You can see the Queue system in Ticket booking where the first entered person in the queue collects the ticket first and leave . It is also a  Linear data type structure .

5.    Graphs – To store the data elements in the Polygon Form or other branches connected is the Graph strategy . This can be Directional and non-Directional strategy . It is a Non-Linear data type structure .

6.    Trees – To store the data nodes in a Tree like hierarchy is Tree System . The initial or root node is called the parent child and then categorized into tree like hierarchy and called Child Nodes . It is a Non-Linear data type structure .

7.    Hashing – Hashing is the most popular and secure way now a days to store data in the memory from the software programmes or mobile applications . It use a mapping system where every node store a data element a particular key maps that node to access the data .

The above described data structure concepts cover all the major fundamentals used to structure and manage all the available data like records , files data etc .

To implement these concepts on paper work , programmers use Algorithms . Algorithms are the straight and step by step guide to implement a concept while practicle tasks .

Programmers use the different-different programming languages to implement the data structuring Algorithms in the programmes . They use C , C++ , Java , Python etc programming languages codes as they feel easy and convenient . 

Some of the very useful other Algorithms are –

1.    Searching Algorithms – These algorithms are used to search specific strings or words in the file using various searching algorithms like Binary Search , Quick Search , etc . All these algorithms differ by their Time and Space Complexity .

2.    Sorting Algorithms – These algorithms are used to sort a group of data to arrange either in a ascending or descending way using the various sorting algorithms like Binary Sorting , Insertion Sorting , Merge Sort , Bubble Sort , Heap Sort etc . All these sorting algorithms differ by their Time and Space complexity .


  1. Great article. There is so much to learn and how well you have explained things. Writing is an art which requires our time and effort to learn it from masters like you.

    We appreciate your effort in putting up this wonderful post. Thanks for sharing, have a great weekend. 🙂


Post a Comment