Advanced Data Management

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Advanced data management is essential for efficient database and information systems, especially with the rise of big data and cloud computing, which have heightened the demand for sophisticated data storage and processing solutions. This book comprehensively covers data management principles developed over recent decades, emphasizing data structures and query languages. It explores various data models and the foundations of structuring, processing, storing, and querying data according to these models. Beginning with database design, it addresses the limitations of the relational data model and introduces graph data, tree-structured XML, key-value pairs, nested semi-structured JSON, columnar and record-oriented data, and object-oriented data. The concluding chapters analyze fragmentation, replication, and consistency strategies for distributed databases and offer guidance on managing polyglot persistence in multi-model databases and multi-database architectures. Aimed primarily at Master-level Computer Science students, this book also serves as a valuable reference for practitioners interested in data modeling and query processing, providing both theoretical insights and a concise overview of current open-source technologies.