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Answering Queries Using Views, Second Edition [electronic resource] / by Foto Afrati, Rada Chirkova.

By: Afrati, Foto [author.].
Contributor(s): Chirkova, Rada [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Data Management: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 2nd ed. 2019.Description: XXI, 253 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031018718.Subject(s): Computer networks  | Data structures (Computer science) | Information theory | Computer Communication Networks | Data Structures and Information TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online
Contents:
Preface 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.
In: Springer Nature eBookSummary: The 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 twonew 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.
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Preface 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.

The 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 twonew 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.

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