Advanced Database Techniques combines advanced techniques with practical advice and many new ideas, methods, and examples for database management students, system specialists, and programmers. It provides a wealth of technical information on database methods and an encyclopedic coverage of advanced techniques that other current books on database lack.An overview covers important definitions in the area of database management and describes such classical notions as file structures, conceptual, physical and external schemas, and relational, network, hierarchical, and entity-relationship models. Remaining chapters offer advanced techniques, methods, and practical advice for functional specification and system design of a database-oriented interactive application; database architecture with qualitative and quantitative optimizations; the prediction of loads and response times; data representation, packing, and protection; selection of data elements and structures in a database; practical extensions of the relational theory to include dynamic relations and schemas, existence and processing constraints and coroutines; software architectures (functional interface and decision machine); and open databases for robotics, image processing, CAD, and artificial intelligence.Extended definitions are provided for conceptual schema, view, soft constraints and selection, relation, and dynamic schema. And an entire chapter is devoted to MSD, a new relational approach to specification and design. New software architectures for database applications are also covered. Advanced Database Techniques describes the 15 functions of a database management system and its internal mechanisms and provides a complete product review of the DBMS ORACLE as well as advice on DBMS purchasing and database administration.Daniel Martin is an independent consultant living in France. He designed and installed the largest distributed database in Europe. Advanced Database Techniques is included in the Information series, edited by Michael Lesk.

"Mastering Postgres: Advanced Database Techniques and Optimizations" is a comprehensive guide designed for database professionals who seek to deepen their expertise in PostgreSQL, one of the most advanced and robust open-source database systems available today. This meticulously crafted book covers a wide range of crucial topics from PostgreSQL's architecture and internal mechanisms to advanced SQL techniques, indexing strategies, transaction management, and much more. Structured into logical and in-depth chapters, each section offers a deep dive into different aspects of PostgreSQL, including performance tuning, replication, security, and effective scalability solutions. Whether you're a database administrator, system architect, or a developer, this guide provides you with detailed insights and practical examples to enhance your database's efficiency, maintain high availability, and ensure data security. Ideal for those already familiar with database fundamentals, "Mastering Postgres" empowers readers to leverage PostgreSQL's full potential, optimize database workflows, and handle high-performance demands of modern applications. Delve into this book to navigate the intricacies of PostgreSQL and master the techniques needed to build reliable, secure, and scalable databases. Equip yourself with the knowledge and skills to elevate your professional capabilities in database management with PostgreSQL.

Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques. The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques. Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.

Database management is attracting wide interest in both academic and industrial contexts. New application areas such as CAD/CAM, geographic information systems, and multimedia are emerging. The needs of these application areas are far more complex than those of conventional business applications. The purpose of this book is to bring together a set of current research issues that addresses a broad spectrum of topics related to database systems and applications. The book is divided into four parts: - object-oriented databases, - temporal/historical database systems, - query processing in database systems, - heterogeneity, interoperability, open system architectures, multimedia database systems.

Scientific applications are generating an ever-increasing volume of multi-dimensional data that are largely processed inside distributed array databases and frameworks. Traditional databases are not equipped with the adequate functionality to handle the volume and variety of ``Big Data''. Scientific data have dual structure. Raw data are preponderantly ordered multi-dimensional arrays or sequences while metadata and derived data are best represented as unordered relations. Scientific data processing requires complex operations over arrays and relations. These operations cannot be expressed using only standard linear and relational algebra operators, respectively.

The database field has experienced a rapid and incessant growth since the development of relational databases. The progress in database systems and applications has produced a diverse landscape of specialized technology areas that have often become the exclusive domain of research specialists. Examples include active databases, temporal databases, object-oriented databases, deductive databases, imprecise reasoning and queries, and multimedia information systems. This book provides a systematic introduction to and an in-depth treatment of these advanced database areas. It supplies practitioners and researchers with authoritative coverage of recent technological advances that are shaping the future of commercial database systems and intelligent information systems. Advanced Database Systems was written by a team of six leading specialists who have made significant contributions to the development of the technology areas covered in the book. Benefiting from the authors' long experience teaching graduate and professional courses, this book is designed to provide a gradual introduction to advanced research topics and includes many examples and exercises to support its use for individual study, desk reference, and graduate classroom teaching.

"This book focuses on technologies and methodologies of database queries, XML and metadata queries, and applications of database query systems, aiming at providing a single account of technologies and practices in advanced database query systems"--Provided by publisher.