Principles of Business Data Processing
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Book by Dock, V.Thomas, Essick, Edward
Book Summary
Principles of Business Data Processing by V. Thomas Dock is a foundational textbook covering data processing concepts, hardware, software, and business applications. Published in the 1970s, it offers historical insight into early computing education. Ideal for students of computing history or those seeking core data processing principles, though modern readers should supplement with current technology resources.
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About Principles of Business Data Processing
Principles of Business Data Processing by V. Thomas Dock and Edward Essick is a comprehensive textbook designed for students learning the fundamentals of business data processing. It covers essential topics such as data representation, input/output devices, storage systems, programming concepts, and business applications. The book emphasizes structured programming and system development, providing a solid foundation in data processing principles. Although published decades ago, its core concepts remain relevant for understanding the evolution of information systems. This textbook is suitable for introductory courses in data processing, computer information systems, and business technology. It includes practical examples and review questions to reinforce learning, making it a valuable resource for both classroom use and self-study.
Who should read Principles of Business Data Processing?
This book is ideal for students enrolled in introductory data processing or computer information systems courses, particularly those interested in the historical development of business computing. Educators seeking a classic textbook for teaching foundational concepts will find it useful. Professionals wanting to understand the evolution of data processing may also benefit. However, readers seeking current technology trends should look for more recent editions or supplementary materials.
Pros & Cons
Pros
- ✓ Provides a clear, structured introduction to core data processing concepts.
- ✓ Includes practical examples and review questions for reinforced learning.
- ✓ Covers both hardware and software fundamentals in a business context.
- ✓ Offers historical insight into early computing education and practices.
- ✓ Written in an accessible style suitable for beginners.
Cons
- ✗ Published in the 1970s, content is outdated regarding modern technologies.
- ✗ Lacks coverage of contemporary topics like cloud computing and big data.
- ✗ Some terminology and examples may feel archaic to today's readers.
- ✗ Limited availability and potentially high cost for a used textbook.
- ✗ Does not reflect current industry standards or software tools.
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Frequently asked questions
Is this book still relevant today?
While the core concepts remain foundational, the technology discussed is outdated. It is best used for historical context or as a supplement to modern resources.
What is the target audience for this book?
It is intended for students in introductory data processing courses and beginners seeking a foundational understanding of business computing.
Does the book include exercises or practice problems?
Yes, the textbook typically includes review questions and practical examples to reinforce learning.
Is this book suitable for self-study?
Yes, the clear explanations and structured approach make it accessible for self-learners, though supplementary modern materials are recommended.
Are there newer editions available?
This is an older edition; however, newer editions may exist under similar titles. Check for updated versions if current technology coverage is needed.
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