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Big Data Integration Theory
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Big Data Integration Theory

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/exchange and peer-to-peer. Database mappings, database programming languages, 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. Features: provides an introduction to logics, co-algebras, databases, schema mappings and category theory; describes the core concepts of big data integration theory, with examples; examines the properties of the DB category; defines the categorial RDB machine; presents full operational semantics for database mappings; discusses matching and merging operators for databases, universal algebra considerations and algebraic lattices of the databases; explores the relationship of the database weak monoidal topos w.r.t. intuitionistic logic.
Undertittel
Theory and Methods of Database Mappings, Programming Languages, and Semantics
Forfatter
Zoran Majkic
Opplag
Softcover reprint of the original 1st ed. 2014
ISBN
9783319355399
Språk
Engelsk
Vekt
310 gram
Utgivelsesdato
17.9.2016
Antall sider
516