There is no single correct answer to this question, but it is easy to imagine what one possible architecture could be, and it is easy to identify a poor choice:
The simpleton's array of bytes is not a good structure for a text processing system, since it makes insertion or deletion costly operations.
One possible structure would be based on double-linked lists of zero or more chapter items.
Each chapter could have a title and a chapter number (and similar attributes), and contain a double-linked list of paragraph items.
Each paragraph could have paragraph-wide attributes (such as left indentation or alignment), and contain a double-linked list of token items.
Each token could have a set of attributes, and contain a double-linked list of character items.
Each character item would have attributes (typeface, font, visibility, etc), and a value (for example, the letter A or the digit 5 or a code for a question mark.
All lists are double-linked to enable traversal in both directions at the same speed.
While the proposed set of double-linked lists could be a good choice for text entry and editing, the proposed structures have a significant memory footprint and would be pretty slow to search for complete phrases. It is therefore safe to assume that true text processing systems, especially those designed to work with large texts, use a more specialized and more optimized architecture.
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In information processing,a Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.
Data Processor or Data Processing Unit or Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.
Schema in programming languages refers to the structure or blueprint that defines how data is organized and stored within a system. It plays a crucial role in determining the relationships between different data elements and how they are accessed and manipulated. By defining a schema, programmers can ensure consistency and integrity of data within the system, making it easier to manage and analyze information effectively. Additionally, schema helps in enforcing data validation rules and constraints, ensuring that only valid and relevant data is stored in the system. Overall, schema greatly impacts the organization and structure of data within a system, providing a framework for efficient data management and processing.
In computer science, a schema definition is a blueprint that outlines the structure and organization of data within a system. It defines the types of data that can be stored, their relationships, and how they are organized. The schema impacts data organization by ensuring consistency and coherence in how data is stored and accessed, which helps maintain data integrity and facilitates efficient data retrieval and manipulation within the system.
Linked organization in data structure is the organization of data records that are linked together by references. These links are also known as connectors.
data processing system is the process of data that refers to information about what the problem.
The importance of data processing is that it presents data in the desired format. The processing of data will depend on the data that is input in the system.
The data processing manager is the coordinator, planner, and supervisor of systems and software application activities. They also handle the organization of data processing activities.
Data being a raw collection of facts turn into Information after processing. This processing involves what can be regarded as organization of data into interpretable format
Master file. This file contains the permanent information for an organization or system, and it is updated by processing transactions that modify data within the system.