Importance of Data Structure

In computer science, a data structure is a particular way of collecting and forming data in computer in such away so that we can operate on them efficiently. Every enterprise application uses various types of data structures in one or the other way.

In simple language, Data Structures are structures programmed to store ordered data, so that various operations can be performed on it easily. It represents the knowledge of data to be organized in memory.

A data structure in computer science is a way of documenting, organizing, processing, and manipulating data in a system. It also shows relationships between data items.

As applications become more complex and the amount of data increases daily, problems can arise with processing speed, retrieving data, handling multiple requests, and more. Data structures provide an efficient way to organize, manage, and store data. Data structures facilitate traversing data items.

Data structures ensure efficiency, reusability, and abstraction. Since the main function of the program is to store and retrieve the user's data as quickly as possible, it plays an important role in improving the performance of the program.

Data structures allow us to organize and store data, and algorithms allow us to process that data in meaningful ways. You can write more efficient and reliable code. You can also resolve issues more quickly and effectively.

For example if we store data as name “Mira” and Percentage “75.5”, then record data name is string type and percentage is float type. Record stored is student name with percentage. We can also store with Roll-No (Integer).

There are various types of data structures, generally built upon simpler primitive data types.

Arrays, Stack, Queue, Link List, Tree, Graph etc…..

Data Structure Language contains following topics at TCCI:

Introduction, Algorithms, Time and Space Complexity, Array, Stack, Queue, Link List, Tree, Graph etc……

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