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Big data integration theory: theory and methods of database mappings, programming languages, and semantics

By: Majkic, Zoran.
Material type: materialTypeLabelBookSeries: Publisher: New York Springer 2014Description: xv, 516 p.ISBN: 9783319041551.Subject(s): Data integration - Computer science | Big data | Database managementDDC classification: 005.74015 Summary: 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 factorial categorical semantics. Features: provides an introduction to logic, 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 categorical 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. intuitionist logic.(http://www.springer.com/gp/book/9783319041551#aboutBook)
List(s) this item appears in: Big data | VR_Data Analytics, Data Visualization and Big Data
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Non-fiction 005.74015 M2B4 (Browse shelf) Available 189311

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 factorial categorical semantics. Features: provides an introduction to logic, 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 categorical 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. intuitionist logic.(http://www.springer.com/gp/book/9783319041551#aboutBook)

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