The Resource Big data integration theory : theory and methods of database mappings, programming languages, and semantics, Zoran Majkić
Big data integration theory : theory and methods of database mappings, programming languages, and semantics, Zoran Majkić
Resource Information
The item Big data integration theory : theory and methods of database mappings, programming languages, and semantics, Zoran Majkić represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Big data integration theory : theory and methods of database mappings, programming languages, and semantics, Zoran Majkić represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
 Summary
 The challenges of big data demand a clear theoretical and algebraic framework, 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 peertopeer. 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, coalgebras, 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 selfcontained textbook is ideal for graduate courses on database engineering methods, and can also be used as a supplementary text for courses on coalgebras and category theory. Researchers and software engineers interested in databases and logics will also find the book to be a useful reference
 Language
 eng
 Extent
 1 online resource (xx, 516 pages)
 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
 Isbn
 9783319041568
 Label
 Big data integration theory : theory and methods of database mappings, programming languages, and semantics
 Title
 Big data integration theory
 Title remainder
 theory and methods of database mappings, programming languages, and semantics
 Statement of responsibility
 Zoran Majkić
 Language
 eng
 Summary
 The challenges of big data demand a clear theoretical and algebraic framework, 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 peertopeer. 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, coalgebras, 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 selfcontained textbook is ideal for graduate courses on database engineering methods, and can also be used as a supplementary text for courses on coalgebras and category theory. Researchers and software engineers interested in databases and logics will also find the book to be a useful reference
 Cataloging source
 DKDLA
 http://library.link/vocab/creatorName
 Majkić, Zoran
 Dewey number
 005.74
 Illustrations
 illustrations
 Index
 index present
 Language note
 English
 LC call number
 QA76.9.D32
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 Texts in Computer Science,
 http://library.link/vocab/subjectName

 Big data
 Computer science
 Logic design
 Computational complexity
 Database management
 Big data
 Computational complexity
 Computer science
 Database management
 Logic design
 Label
 Big data integration theory : theory and methods of database mappings, programming languages, and semantics, Zoran Majkić
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 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
 Control code
 876366543
 Dimensions
 unknown
 Extent
 1 online resource (xx, 516 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9783319041568
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319041568
 Other physical details
 illustrations.
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)876366543
 Label
 Big data integration theory : theory and methods of database mappings, programming languages, and semantics, Zoran Majkić
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 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
 Control code
 876366543
 Dimensions
 unknown
 Extent
 1 online resource (xx, 516 pages)
 File format
 unknown
 Form of item
 online
 Isbn
 9783319041568
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319041568
 Other physical details
 illustrations.
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)876366543
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Bigdataintegrationtheorytheoryandmethods/TleV4cxsV4/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Bigdataintegrationtheorytheoryandmethods/TleV4cxsV4/">Big data integration theory : theory and methods of database mappings, programming languages, and semantics, Zoran Majkić</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>