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portada Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics
Type
Physical Book
Author
Publisher
Language
English
Pages
516
Format
Hardcover
Dimensions
23.4x15.6x3 cm
Weight
0.93 kg.
ISBN13
9783319041551
Edition No.
2014th
Categories

Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics

Zoran Majkic (Author) · Springer · Hardcover

Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics - Majkic, Zoran

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Synopsis "Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics"

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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