000 04136nam a22005415i 4500
001 978-3-319-04156-8
003 DE-He213
005 20170628034108.0
007 cr nn 008mamaa
008 140123s2014 gw | s |||| 0|eng d
020 _a9783319041568
_9978-3-319-04156-8
024 7 _a10.1007/978-3-319-04156-8
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
100 1 _aMajkić, Zoran.
_eauthor.
245 1 0 _aBig Data Integration Theory
_h[electronic resource] :
_bTheory and Methods of Database Mappings, Programming Languages, and Semantics /
_cby Zoran Majkić.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXX, 516 p. 170 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTexts in Computer Science,
_x1868-0941
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 _aComputer science.
650 0 _aLogic design.
650 0 _aComputational complexity.
650 0 _aDatabase management.
650 0 _aInformation systems.
650 0 _aInformation Systems.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aLogics and Meanings of Programs.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aManagement of Computing and Information Systems.
650 2 4 _aComputer Appl. in Administrative Data Processing.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319041551
830 0 _aTexts in Computer Science,
_x1868-0941
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-04156-8
912 _aZDB-2-SCS
999 _c18269
_d18269