Data Scraping Encyclopedia>Data Scraping Noun> Data Abstraction

Data Abstraction | Web Scraping Tool | ScrapeStorm

2025-06-24 18:45:31

10 views

Abstract：Data abstraction is a concept in computer science that hides complex data structures and internal implementation details, providing only necessary information to users and other systems. ScrapeStormFree Download

ScrapeStorm is a powerful, no-programming, easy-to-use artificial intelligence web scraping tool.

Introduction

Data abstraction is a concept in computer science that hides complex data structures and internal implementation details, providing only necessary information to users and other systems. This is closely related to “encapsulation” in software development and plays a particularly important role in object-oriented programming. Data abstraction enables developers to focus on the necessary parts and use functions without worrying about internal processing details.

Applicable Scene

This concept is particularly useful in applications that process large amounts of complex data, such as banking systems, medical information systems, and GIS (Geographic Information Systems). For example, a user can check their bank account balance or transfer money, but they do not need to understand how the transaction is processed in the database. In GIS, the user only needs to select a point on the map, and coordinate transformations and spatial analysis are usually performed in the background, abstracting these processes to make it very simple for the user.

Pros: Advantages include improved system flexibility and maintainability. Since changes to the internal structure do not affect the external interface, partial modifications and feature additions can be made without shutting down the entire system. In addition, there are advantages in terms of security, and by not disclosing unnecessary information to users, the risk of unauthorized access or misoperation can be reduced.

Cons: Excessive abstraction makes system behavior difficult to understand and can become an obstacle to troubleshooting. In addition, a poorly designed abstraction layer can lead to poor performance and limited reusability. In addition, inappropriate abstract interfaces can hinder users from performing the flexible operations they need.