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Structured Search for Big Data

Structured Search for Big Data From Keywords to Key-Objects

Paperback (01 Sep 2015)

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Publisher's Synopsis

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.

Book information

ISBN: 9780128046319
Publisher: Elsevier Science
Imprint: Morgan Kaufmann
Pub date:
DEWEY: 025.04
DEWEY edition: 23
Language: English
Number of pages: 114
Weight: 202g
Height: 154mm
Width: 230mm
Spine width: 9mm