First course in database systems, a, Ullman, Jeffrey Widom, Jennifer

Автор: Halpin, Terry
Название: Object-role modeling fundamentals
ISBN: 1634620747 ISBN-13(EAN): 9781634620741
Издательство: Gazelle Book Services
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Цена: 58610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Object-Role Modeling (ORM) is a fact-based approach to data modelling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types, where the relationship may be unary (eg: Person smokes), binary (eg: Person was born on Date), ternary (eg: Customer bought Product on Date), or longer. Fact types facilitate natural expression, are easy to populate with examples for validation purposes, and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML). All relevant facts, constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modeled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORMs graphical notation. For the data modeler, ORMs graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualisation of the underlying semantics. Suitable for both novices and experienced practitioners, this book covers the fundamentals of the ORM approach. Written in easy-to-understand language, it shows how to design an ORM model, illustrating each step with simple examples. Each chapter ends with a practical lab that discusses how to use the freeware NORMA tool to enter ORM models and use it to automatically generate verbalisations of the model and map it to a relational database.

Автор: Zoran Majkic
Название: Big Data Integration Theory
ISBN: 3319355392 ISBN-13(EAN): 9783319355399
Издательство: Springer
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Цена: 55890.00 T
Наличие на складе: Нет в наличии.
Описание: This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration and exchange and peer-to-peer computing. Includes practical examples.

Автор: Janusz Sobecki; Veera Boonjing; Suphamit Chittayas
Название: Advanced Approaches to Intelligent Information and Database Systems
ISBN: 331905502X ISBN-13(EAN): 9783319055022
Издательство: Springer
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Цена: 148020.00 T
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Описание: The book is organized in four parts devoted to intelligent systems models and methods, intelligent systems advanced applications, database systems methods and applications and multimedia systems methods and applications.

Автор: Lawson, Susan
Название: Db2 11 for z/os database administration
ISBN: 1583473971 ISBN-13(EAN): 9781583473979
Издательство: Gazelle Book Services
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Цена: 131550.00 T
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Описание: Written primarily for database administrators who work on z/OS and who are taking the IBM DB2 11 for z/OS Database Administration certification exam (Exam 312), this resource also appeals to those who simply want to master the skills needed to be an effective database administrator of z/OS mainframes. This study guide is designed to provide those seeking certification with an intense overview of DB2 11 for z/OS and all topics covered on the exam. Sample questions are provided at the end of each chapter, along with answers and explanations.

Автор: Sherif Sakr, Eric Pardede
Название: Graph Data Management: Techniques and Applications
ISBN: 161350053X ISBN-13(EAN): 9781613500538
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Graph Data Management: Techniques and Applications is a central reference source for different data management techniques for graph data structures and their application. This book discusses graphs for modeling complex structured and schemaless data from the Semantic Web, social networks, protein networks, chemical compounds, and multimedia databases and offers essential research for academics working in the interdisciplinary domains of databases, data mining, and multimedia technology.

Автор: Li Yan
Название: Handbook of Research on Innovative Database Query Processing Techniques
ISBN: 1466687673 ISBN-13(EAN): 9781466687677
Издательство: Mare Nostrum (Eurospan)
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Цена: 325250.00 T
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Описание: Focuses on database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems.

Автор: Wang
Название: Databases Theory and Applications
ISBN: 331992012X ISBN-13(EAN): 9783319920122
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Database and Applications.- Data mining and Applications.- Theories and Methodologies.

Автор: Karthik S., Paul Anand, Karthikeyan N.
Название: Deep Learning Innovations and Their Convergence with Big Data
ISBN: 1522530150 ISBN-13(EAN): 9781522530152
Издательство: Mare Nostrum (Eurospan)
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Цена: 199590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics.Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.Contents include:Deep Auto-EncodersDeep Neural NetworkDomain Adaptation ModelingMultilayer Perceptron (MLP)Natural Language Processing (NLP)Restricted Boltzmann Machines (RBM)Threat Detection

Автор: Brown MC
Название: Developing with Couchbase Server: Building Scalable, Flexible Database-Based Applications
ISBN: 1449331165 ISBN-13(EAN): 9781449331160
Издательство: Wiley
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Цена: 16890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With this concise guide, you`ll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and social media where hundreds of thousands of users read and write large volumes of information.

Автор: Languedoc
Название: Build iOS Database Apps with Swift and SQLite
ISBN: 1484222318 ISBN-13(EAN): 9781484222317
Издательство: Springer
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Цена: 25150.00 T
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Описание:

Автор: Hills Ted
Название: NOSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software
ISBN: 1634621093 ISBN-13(EAN): 9781634621090
Издательство: Gazelle Book Services
Рейтинг:
Цена: 58610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications. Novel NoSQL data organization techniques must be used side-by-side with traditional SQL databases. Are existing data modeling techniques ready for all of this? The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases. This book will teach you: the simple and familiar graphical notation of COMN with its three basic shapes and four line styles; how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that arent tangled with confused techno-speak; how to express logical data designs that are freer from implementation considerations than is possible in any other notation; how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms; how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development. A quick reference guide to COMN is included in an appendix. The full notation reference is available at http://www.tewdur.com/

Автор: Halpin Terry
Название: Object-Role Modeling Workbook: Data Modeling Exercises Using Orm and Norma
ISBN: 1634621042 ISBN-13(EAN): 9781634621045
Издательство: Gazelle Book Services
Рейтинг:
Цена: 58610.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Object-Role Modeling (ORM) is a fact-based approach to data modelling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types, where the relationship may be unary (eg: Person smokes), binary (eg: Person was born on Date), ternary (eg: Customer bought Product on Date), or longer. Fact types facilitate natural expression, are easy to populate with examples for validation purposes, and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML). All relevant facts, constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modelled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORMs graphical notation. For the data modeller, ORMs graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualisation of the underlying semantics. Written as a sequel to the authors previous book "Object-Role Modeling Fundamentals", this book briefly reviews the fundamentals of ORM, and then discusses additional topics such as model reports generation, vocabulary glossaries, relational mapping options, annotated relational schemas, schema optimisation, and data modelling patterns. Written in easy-to-understand language, it illustrates each topic with simple examples, and explains how to use the freeware NORMA tool to implement the ideas discussed. The book also includes many practical exercises to promote expertise in the techniques covered, with answers provided to all the exercise questions.