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Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Terry Halpin, a pioneer in the development of ORM, blends conceptual information with
Database design --- Relational databases --- Bases de données --- Bases de données relationnelles --- Conception --- Database design. --- Relational databases. --- Information Technology --- General and Others
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Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Terry Halpin, a pioneer in the development of ORM, blends conceptual information with
Database design --- Relational databases --- Bases de données --- Bases de données relationnelles --- Conception --- Database design. --- Relational databases. --- Bases de données --- Bases de données relationnelles --- Information Technology --- General and Others --- Relational data bases --- Databases --- Data base design --- System design
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This book presents a comprehensive view of how to manage a temporal database. Temporal data management refers to an integrated method of managing data about the past, present, and future of the objects and events of interest to the user. That is, managing non-current data in relational databases in such a way that past data can be seamlessly accessed together with current data with result sets containing both current and non-current data that can be retrieved with queries simple enough for a business user to write and with result set response times very close to those for result sets contain
Information Technology --- General and Others --- Temporal databases. --- Relational databases. --- Database management. --- Querying (Computer science) --- Temporal databases --- Relational databases --- Database management --- Bases de données spatio-temporelles --- Bases de données relationnelles --- Bases de données --- Gestion --- Interrogation
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Temporal database systems are systems that provide special support for storing, querying, and updating historical and/or future data. Current DBMSs provide essentially no temporal features at all, but this situation is likely to change soon for a variety of reasons; in fact, temporal databases are virtually certain to become important sooner rather than later, in the commercial world as well as in academia. This book provides an in-depth description of the foundations and principles on which those temporal DBMSs will be built. These foundations and principles are firmly rooted in the re
Database management. --- Relational databases. --- Bases de données --- Bases de données relationnelles --- Gestion --- Geografie --- Geografische Informatie Systemen --- Meer Dimensionaal. --- Bases de données --- Bases de données relationnelles --- Relational data bases --- Databases --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing
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Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in consideration of new technology or new business needs? In the extensively revised fourth edition, you'll get clear explanations, lots of terrific examples and an illustrative case, and the really practical advice you have come to count on--with
Relational databases --- Database design --- Bases de données relationnelles --- Bases de données --- Conception --- Relational databases. --- Database design. --- Data base design --- System design --- Relational data bases --- Databases --- Bases de données relationnelles --- Bases de données --- Information Technology --- General and Others --- Informatica --- Systeemontwikkeling
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Information Modeling and Relational Databases provides an introduction to ORM (Object Role Modeling)-and much more. In fact, it's the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. Inside, ORM authority Terry Halpin blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to
Information systems --- Information Technology --- General and Others --- Database design --- Relational databases --- 005.756 --- #KVHA:Database design --- #KVHA:Informatica --- #KVHA:ORM --- Relational data bases --- Databases --- Data base design --- System design --- Bases de données --- Bases de données relationnelles --- Conception --- Database design. --- Relational databases.
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Schedule, manage, and execute jobs that automate your business processes using Oracle Scheduler with this book and eBook
Database management. --- Production scheduling --- Relational databases. --- Relational data bases --- Databases --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Data processing. --- Oracle (Computer file) --- Oracle7.3 --- Oracle 7.3 --- Personal Oracle7 --- Personal Oracle 7 --- Bases de données relationnelles --- Oracle (computer file) --- Oracle (système informatique)
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This book presents a comprehensive view of how to manage a temporal database. Temporal data management refers to an integrated method of managing data about the past, present, and future of the objects and events of interest to the user. That is, managing non-current data in relational databases in such a way that past data can be seamlessly accessed together with current data with result sets containing both current and non-current data that can be retrieved with queries simple enough for a business user to write and with result set response times very close to those for result sets contain
Temporal databases --- Relational databases --- Database management --- Querying (Computer science) --- Bases de données spatio-temporelles --- Bases de données relationnelles --- Bases de données --- Gestion --- Interrogation --- Information Technology --- General and Others --- Temporal databases. --- Relational databases. --- Database management. --- Database interrogation --- Interrogation of databases --- Database searching --- Reporting (Computer science) --- WHOIS (Computer network protocol) --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Relational data bases --- Databases --- Temporal data bases
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This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming (ILP), multirelational data mining (MRDM) and (statistical) relational learning (SRL). These subfields of data mining and machine learning are concerned with the analysis of complex and structured data sets that arise in numerous applications, such as bio- and chemoinformatics, network analysis, Web mining, natural language processing, within the rich representations offered by relational databases and computational logic. The author introduces the machine learning and representational foundations of the field and explains some important techniques in detail by using some of the classic case studies centered around well-known logical and relational systems. The book is suitable for use in graduate courses and should be of interest to graduate students and researchers in computer science, databases and artificial intelligence, as well as practitioners of data mining and machine learning. It contains numerous figures and exercises, and slides are available for many chapters.
Computer science. --- Software engineering. --- Database management. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Computer Science. --- Software Engineering/Programming and Operating Systems. --- Artificial Intelligence (incl. Robotics). --- Data Mining and Knowledge Discovery. --- Database Management. --- Information Storage and Retrieval. --- Information Systems Applications (incl. Internet). --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Computer software engineering --- Engineering --- Informatics --- Science --- Logic programming. --- Uncertainty (Information theory) --- Machine learning --- Statistical methods. --- Learning, Machine --- Artificial intelligence --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Information measurement --- Probabilities --- Questions and answers --- Computer programming --- Information Technology --- Artificial Intelligence --- Data mining --- Logic programming --- Relational databases --- Apprentissage automatique --- Exploration de données (Informatique) --- Programmation logique --- Bases de données relationnelles --- Information storage and retrieva. --- Artificial Intelligence. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Artificial intelligence. Robotics. Simulation. Graphics
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