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Verlag: Morgan Kaufmann 2015-09-07, 2015
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Taschenbuch. Zustand: Neu. Structured Search for Big Data | From Keywords to Key-objects | Mikhail Gilula | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2015 | Morgan Kaufmann | EAN 9780128046319 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Neuware - This guide serves as the definitive reference for understanding the KeySQL query language.If you are familiar with the SQL language that manages data held in relational database management systems (RDBMS), then you are already familiar with KeySQL.KeySQL was invented to readily manage all enterprise data, including the fast-growing volumes of non-flat data native to the likes of JSON and XML. It adheres to the SQL standard of productivity while dealing with data structures much more complex than relational tables. And it makes the powerful RDBMS functionality including joins, set operations, and aggregations, equally applicable to the non-flat data.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Englisch.
Sprache: Englisch
Verlag: Elsevier Science & Technology, 2015
ISBN 10: 0128046317 ISBN 13: 9780128046319
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Show.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration.