Afrati, Foto. <br/><br/>
Answering Queries Using Views, Second Edition  [electronic resource] / 
by Foto Afrati, Rada Chirkova. 
 - 2nd ed. 2019. 
 - XXI, 253 p.  online resource. 
 - Synthesis Lectures on Data Management,  2153-5426 .
 - Synthesis Lectures on Data Management, .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783031018718 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-01871-8  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer networks .<br/>Data structures (Computer science).<br/>Information theory.<br/>Computer Communication Networks.<br/>Data Structures and Information Theory.
<br/><br/><label>LC Class. No.: </label>TK5105.5-5105.9 
<br/><br/><label>Dewey Class. No.: </label>004.6