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Více informací o knize Big Data Integration Theory

• Parametry knihy
• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Human-computer interaction

• Plný název: Big Data Integration Theory
• Autor: Zoran Majkic
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 516
• EAN: 9783319041551
• ISBN: 331904155X
• ID: 02300974
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 928 g
• Rozměry: 162 × 239 × 34 mm
• Datum vydání: 24. January 2014

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