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This book provides a thorough introduction to relational (SQL) and non-relational (NoSQL) databases, reviewing current tools and techniques while exploring future innovations. It begins with a broad overview of data management, covering information systems, contemporary database types, and their management systems. The text delves into Big Data, data management organization, and offers in-depth discussions on Data Modeling and Consistency in both relational and graph databases, including enterprise-wide architecture and database design formulas. Language coverage includes operators, SQL, QBE (Query by Example), and integrity constraints. A dedicated chapter addresses the challenges of ensuring data consistency, tackling multi-user operations, troubleshooting in massive distributed data, and comparing ACID and BASE models. System Architecture is also explored, focusing on homogeneous and heterogeneous data processing, storage structures, multi-dimensional data, and parallel processing with MapReduce. The section on post-relational databases examines SQL limitations and introduces Multi-Dimensional Databases, Knowledge Bases, and Fuzzy Databases. The final chapter covers NoSQL technologies, including Key-Value, Column-Family, Document Stores, XML, and Graph Databases. With over 100 tables, examples, and resources for further reading, this textbook is beneficial for students and practitioners in applied information technology, an

This book addresses the latest research and applications of fuzzy management methods for business decisions. It showcases a broad set of applications and discusses topics such as measures for the quality of analytics outcomes in big data environments; how fuzzy management methods support the inclusion of human thinking and human behavior in decision making processes; how to generate better results with fuzzy management methods in cases of imprecise information; new personalization concepts enabled by fuzzy logic for the offering of customized products and services especially in the electronic market; and lastly the application of fuzzy analysis for executives using natural rather than computer language. The combination of research papers and case studies makes it a valuable resource both for researchers and practitioners in the digital economy.

In turn, real-world case studies demonstrate the practical applications in industry, administration and research.The second edition of this book has been completely revised and extended, and includes several new case studies.

The book provides an in-depth exploration of the digital value chain in electronic transactions, breaking down each component into dedicated chapters. Key elements such as eProducts & eServices, eProcurement, eMarketing, eContracting, eDistribution, ePayment, and eCustomer Relationship Management are examined, offering insights into how these components interconnect and function within the digital marketplace. This structured approach aids readers in understanding the complexities and dynamics of electronic transactions.