Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics by Zoran MajkiBig Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics by Zoran Majki

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

byZoran Majki

Hardcover | February 5, 2014

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The challenges of big data demand a clear theoretical and algebraicframework, extending the standard relational database (RDB) with more powerful features in order to manage the complex schema mappings.

This unique textbook/reference presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a very general framework for database integration/exchange and peer-to-peer. Issues of database mappings, database programming languages (algebras), 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.

Topics and features: provides a concise, formal introduction to logics, (co-)algebras, databases, schema mappings and category theory; describes the core concepts of big data integration theory, supported by a number of practical examples; examines the computational properties of the DB category, compared to the extensions of Codd's SPRJU relational algebra and structured query language (SQL); defines the abstract computational machine, the categorial RDB machine, able to support all DB computations by SQL embedding; presents full operational semantics for database mappings (programs); discusses matching and merging operators (tensors) for databases, universal algebra considerations, and algebraic lattices of the databases; explores the relationship of the database weak monoidal topos with respect to intuitionistic logic.

This self-contained textbook is ideal for graduate courses on database engineering methods, and can also be used as a supplementary text for courses on co-algebras and category theory. Researchers and software engineers interested in databases and logics will also find the book to be a useful reference.

Dr. Zoran MajkiÄ is Chief Technology Advisor at Jumper Consulting Investment Ltd., Dublin, Ireland. He is also affiliated with the International Society for Research in Science and Technology, Tallahassee, FL, USA.
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Title:Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and…Format:HardcoverDimensions:516 pagesPublished:February 5, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:331904155X

ISBN - 13:9783319041551

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Table of Contents

Introduction and Technical Preliminaries

Composition of Schema Mappings: Syntax and Semantics

Definition of DB Category

Functorial Semantics for Database Schema Mappings

Extensions of Relational Codd's Algebra and DB Category

Categorial RDB Machines

Operational Semantics for Database Mappings

The Properties of DB Category

Weak Monoidal DB Topos

Editorial Reviews

"All topics are studiedin detail consistently in terms of category theory. . Each chapter of the bookends with a couple of 'review questions'. Textbooks often provide teachers withsupplementary material indicating the correct answer - surely this will also bethe case here. Also by 'researchers interested in methods of computer scienceused in databases and logics, and the original contributions - a categorytheory applied to databases" will this book be well accepted." (Antonin Riha,zbMATH, Vol. 1325. 68004, 2016)"The author has written a number of papers on data integration theory and this book is a compendium of these papers . . It would be an ideal companion for a research student working with theoretical database concepts." (M. S. Krishnamoorthy, Computing Reviews, September, 2014)