About this product

Product Identifiers

PublisherElsevier Science & Technology

ISBN-100128046317

ISBN-139780128046319

eBay Product ID (ePID)219443969

Product Key Features

Number of Pages114 Pages

Publication NameStructured Search for Big Data : from Keywords to Key-Objects

LanguageEnglish

SubjectManagement Information Systems, Native American Languages, Data Processing, Databases / General

Publication Year2015

TypeLanguage Course

Subject AreaForeign Language Study, Computers

AuthorMikhail Gilula

FormatTrade Paperback

Dimensions

Item Length9 in

Item Width6 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2017-288144

Dewey Edition23

IllustratedYes

Dewey Decimal025.04

Table Of ContentIntroduction 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

SynopsisThe 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., 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

LC Classification NumberZA4460