A Data-Centric Introduction to Computing
“A Data-Centric Introduction to Computing” is a comprehensive guide to the fundamental concepts of computing, with a focus on data-centric approaches. This book is designed for students and professionals who are new to the field of computing and want to gain a deep understanding of the underlying principles and technologies.
- Introduction: This section provides an overview of the book and the purpose of a data-centric approach to computing.
- Data Representation: This section covers the basics of data representation, including binary numbers, data structures, and algorithms for data manipulation.
- Data Storage and Retrieval: This section explores the storage and retrieval of data, including databases, data management systems, and file systems.
- Data Analytics: This section covers the basics of data analytics, including descriptive statistics, data visualization, and predictive modeling.
- Data Processing: This section explores the processing of data, including parallel computing, cloud computing, and distributed systems.
- Data Security: This section covers the fundamentals of data security, including encryption, authentication, and access control.
- Conclusion: The final section summarizes the key takeaways from the book and provides resources for further learning and exploration.
“A Data-Centric Introduction to Computing” is an accessible and engaging guide to the fundamentals of computing, with a focus on data-centric approaches. The book’s clear and concise writing style, combined with its comprehensive coverage, makes it a valuable resource for anyone who wants to learn more about the field of computing and how it can be applied to solve real-world problems. Whether you are a student, professional, or simply curious about computing, this book will provide you with a solid foundation for exploring the exciting and rapidly-evolving field of data-centric computing.
