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

by Mikhail Gilula

Overview

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.

Product Details

ISBN-13:	9780128046319
Publisher:	Elsevier Science
Publication date:	09/01/2015
Pages:	114
Product dimensions:	5.90(w) x 8.80(h) x 0.40(d)

About the Author

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.

Table of Contents

1. Introduction to Structured Search
2. From Keywords to Key-objects
3. Key-object Data Model
4. Structured Search Framework
5. Introduction to KeySQL
6. Structured Search on the Database Landscape
7. Structured Search Solutions

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From the Publisher

Introduces structured search as a technology for querying multiple data sources in an independent and scalable manner