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Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics (en Inglés)
Zoran Majkic
(Autor)
·
Springer
· Tapa Blanda
Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics (en Inglés) - Majkic, Zoran
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Origen: Reino Unido
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Reseña del libro "Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics (en Inglés)"
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.
