000			03692cam a22004217i 4500
999			_c9809 _d9809
001			18014985
005			20190506120422.0
008			140122s2014 sz a b 001 0 eng d
010			_a 2014931373
016	7		_a016636174 _2Uk
020			_a9783319041551 (hb)
020			_a331904155X (hb)
035			_a(OCoLC)ocn865495886
040			_aBTCTA _beng _cBTCTA _erda _dYDXCP _dUKMGB _dIXA _dDLC
042			_alccopycat
050	0	0	_aQA76.9.D338 _bM35 2014
082	0	0	_a005.7 _222 _bM.Z.B
100	1		_aMajkić, Zoran,
245	1	0	_aBig data integration theory : _btheory and methods of database mappings, programming languages, and semantics / _cZoran Majkić.
260			_aCham : _bSpringer, _cc2014.
300			_axx, 516 p. : _bill. ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aTexts in computer science, _x1868-0941
500			_acomputer bookfair2015
504			_aIncludes bibliographical references and index.
505		0	_aIntroduction 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.
520			_aThe 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 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.
650		0	_aData integration (Computer science)
650		0	_aBig data.
650		0	_aDatabase management.
830		0	_aTexts in computer science. _x1868-0941
856			_3Abstract _uhttp://repository.fue.edu.eg/xmlui/handle/123456789/3634
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK