Structured search for big data from keywords to key-objects / Mikhail Gilula.

By:

Gilula, Mikhail

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780128046319

Subject(s):

DDC classification:

025.0425 .G489 2016

Summary: "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" --Provided by publisher.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Print Materials	Main Library General Circulation	025.0425 .G489 2016 (Browse shelf(Opens below))	Available		0119548

"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" --Provided by publisher.

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