Big Data Integration Theory
Produktnummer:
18481209df43ed4911b91ac49c485ed889
Autor: | Majkic, Zoran |
---|---|
Themengebiete: | Algebras for Database Mappings Categorial Machines for Relational Database Management Systems Denotational and Operational Semantics for Data Integration Relational Database Integration Topological Properties of Database Mappings |
Veröffentlichungsdatum: | 05.02.2014 |
EAN: | 9783319041551 |
Sprache: | Englisch |
Seitenzahl: | 516 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Untertitel: | Theory and Methods of Database Mappings, Programming Languages, and Semantics |
Produktinformationen "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.

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