0 Mėgstami
0Krepšelis

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

82,48 
82,48 
2025-07-31 82.4800 InStock
Nemokamas pristatymas į paštomatus per 13-17 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Zoran Majki¿
Serija: Texts in Computer Science
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2016
Knygos puslapių skaičius: 536
ISBN-10: 3319355392
ISBN-13: 9783319355399
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Maths for computer scientists

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics“

Būtina įvertinti prekę

Goodreads reviews for „Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics“