Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and SemanticsКНИГИ » ОС И БД
Название: Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics Автор: Zoran Majki? Издательство: Springer Год: 2014 ISBN: 3319355392 / 9783319355399 Серия: Texts in Computer Science Формат: pdf Страниц: 516 Размер: 10,9 mb Язык: English
The challenges of big data demand a clear theoretical and algebraic framework, extending the standard relational database (RDB) with more powerful features in order to manage the complex schema mappings.
This unique textbook/reference presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a very general framework for database integration/exchange and peer-to-peer. Issues of database mappings, database programming languages (algebras), and denotational and operational semantics are discussed in depth. An analysis method is also developed that combines techniques from second order logic, data modeling, co-algebras, and functorial categorial semantics.
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Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics 
