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.