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008			220601s2019 sz | s |||| 0|eng d
020			_a9783031018718
024	7		_a10.1007/978-3-031-01871-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050			_aQA76.9.D3 _b2019 EB
100	1		_aAfrati, Foto _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686953
245	1	0	_aAnswering Queries Using Views _cby Foto Afrati, Rada Chirkova
250			_a2nd edition 2019
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XXI, 253 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Management _x2153-5426
505	0		_aPreface to the First Edition -- Preface to the Second Edition -- Acknowledgments -- Queries and Views -- Query Containment and Equivalence -- Finding Equivalent Rewritings -- Maximally Contained Rewritings (MCRs) -- Answering Queries in Presence of Dependencies -- Answering Queries in Data Exchange -- Answering Queries Using Views -- XPath Queries and Views -- Tree-Structured Records Queried with SQL Dialect -- Bibliographical Notes for Chapters 1--7 -- Conclusion for Chapters 1--7 -- Bibliography -- Authors' Biographies.
520			_aThe topic of using views to answer queries has been popular for a few decades now, as it cuts across domains such as query optimization, information integration, data warehousing, website design and, recently, database-as-a-service and data placement in cloud systems. This book assembles foundational work on answering queries using views in a self-contained manner, with an effort to choose material that constitutes the backbone of the research. It presents efficient algorithms and covers the following problems: query containment; rewriting queries using views in various logical languages; equivalent rewritings and maximally contained rewritings; and computing certain answers in the data-integration and data-exchange settings. Query languages that are considered are fragments of SQL, in particular select-project-join queries, also called conjunctive queries (with or without arithmetic comparisons or negation), and aggregate SQL queries. This second edition includes two new chapters that refer to tree-like data and respective query languages. Chapter 8 presents the data model for XML documents and the XPath query language, and Chapter 9 provides a theoretical presentation of tree-like data model and query language where the tuples of a relation share a tree-structured schema for that relation and the query language is a dialect of SQL with evaluation techniques appropriately modified to fit the richer schema.
988			_aSynthesis Collection of Technology_2019
650		7	_2embne _9147823 _aRecuperación de la información
650		7	_2embne _9138966 _aBases de datos
650		7	_2embne _9144601 _aSQL (Lenguaje de programación)
700	1		_aChirkova, Rada _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686954
776	0	8	_iPrinted edition: _z9783031000980
776	0	8	_iPrinted edition: _z9783031007439
776	0	8	_iPrinted edition: _z9783031029998
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01871-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI