bokomslag Big Data Integration Theory
Data & IT

Big Data Integration Theory

Zoran Majki? Zoran Majkic Zoran Majki¿

Inbunden

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  • 516 sidor
  • 2014
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.
  • Författare: Zoran Majki?, Zoran Majkic, Zoran Majki¿
  • Format: Inbunden
  • ISBN: 9783319041551
  • Språk: Engelska
  • Antal sidor: 516
  • Utgivningsdatum: 2014-02-05
  • Förlag: Springer International Publishing AG