Structured Search for Big Data

Structured Search for Big Data : From Keywords to Key-objects

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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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Product details

  • Paperback | 114 pages
  • 152 x 229 x 7.11mm | 110g
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • black & white illustrations
  • 0128046317
  • 9780128046319

Table of contents

Introduction to Structured Search
From Keywords to Key-objects
Key-object Data Model
Structured Search Framework
Introduction to KeySQL
Structured Search on the Database Landscape
Structured Search Solutions
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About Mikhail M. Gilula

Mikhail Gilula has over 20 years of experience in database and data warehousing technologies. He has authored 3 books on the subject including "The Set Model for Database and Information Systems" published by Addison-Wesley and ACM Press, and holds 4 US Patents in Data Integration and Structured Search. Mikhail's industry experience includes working as a Sr. Data Architect for PayPal, Alcatel-Lucent, and Teradata, among others.
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