What is data structures?
Data structures are essential components that help to store and organize data.
In the newer world as we see today, data is large and very essential, so there's great importance for data to be well structured for specific purposes, data is so powerful in our modern world it needs to be structured and organized very properly.
Data structures can come of different types as there are various means which data can be stored and structured, each having it's not specialty.
Understanding the importance of data data structures is very crucial as loss of data or unkept data could lead to serious disasters and security threats, which brings us to how different data should be structured or stored.
With the two main categories of data structures being linear data and non linear data structures
Data structures can be applied in database management systems, compiling and many more, it is of importance to structure data so it will be easily retrieve and key in data properly and know how we we can manage data for different tasks and purposes.
Eg Trying to store data for a file system would highly require a hierarchical data structure as it has different branches through which data can be stored or accessed, unlike storing data on the web browser local storage which would require a linear data structure, probably a stack structure, therefore it is of importance to understand all this concept to enable and analyze which system is best suited for storing different type of data.
Another concept that's of importance to know about in structuring data is to know about static and dynamic data structuring.
Static data structuring from the name static talks about data that is fixed, it's mainly used in array type of structuring where the data memory is fixed and cannot be altered, allowing easy means of identifying each specific data being stored.
Dynamic data structuring on the other hand has to do with data memory that can vary, meaning it can be changed and altered allowing data memory
to be allocated or deallocated.
It's advisable to understand both types of data structuring to know which is more available for a project and best suit an application.Eg dynamic data structuring would be useful for large data storage as it would enable data to be removed and added easily, example would be a database storage for an e-commerce website which enables users to add account and also be able to delete there account.
Therefore it is really important to understand the aspect of data structuring as it enables one to easily know how to manipulate, store and handle data for different tasks and purposes.
How is does data and programming relate and what is the importance of data structure to programming?
Data and programming and intertwined, to programe an application or software, one will need data, and to store, organize or structure data, one will need to program. In terms of programming languages it's very beneficial to learn data structuring, here are why are importance of it
1: Helps to know what data structure suits a programming language.
2: Helps to reduce complexity of code when trying to use and structure data in a programming language.
3: Create reusable and more scalable data
4: For security purposes to know which language best helps in safe keeping and for the encryption or storage of data.
5: To know which language is best suited for handling large amount of data or vice versa.
Top comments (0)