Structured Search for Big Data

From Keywords to Key-objects

Nonfiction, Computers, Advanced Computing, Management Information Systems, Database Management, General Computing
Cover of the book Structured Search for Big Data by Mikhail Gilula, Elsevier Science
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Author: Mikhail Gilula ISBN: 9780128046524
Publisher: Elsevier Science Publication: August 26, 2015
Imprint: Morgan Kaufmann Language: English
Author: Mikhail Gilula
ISBN: 9780128046524
Publisher: Elsevier Science
Publication: August 26, 2015
Imprint: Morgan Kaufmann
Language: English

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.

  • 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
  • Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search
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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.

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