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Structured Search for Big Data
From Keywords to Key-objects
1st Edition - August 26, 2015
Author: Mikhail Gilula
Language: English
Paperback ISBN:9780128046319
9 7 8 - 0 - 1 2 - 8 0 4 6 3 1 - 9
eBook ISBN:9780128046524
9 7 8 - 0 - 1 2 - 8 0 4 6 5 2 - 4
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. St…Read more
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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.
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
IT professionals and managers, data architects and modelers, software developers, undergraduate and graduate students in information systems, computer science or engineering
Dedication
Quotation
Preface
Acknowledgments
Chapter 1: Introduction to Structured Search
Abstract
1.1. Limitations of Keyword Search
1.2. Keyword Search in E-Commerce
1.3. Limitations of Database Search
1.4. What is Structured Search?
Chapter 2: Key-Objects vs. Keywords
Abstract
2.1. Introducing Key-Objects
2.2. Mary’s Printer
2.3. Key-Objects and Instances
2.4. Catalogs and Query Expansion
Chapter 3: Key-Object Data Model
Abstract
3.1. Key-Objects as Hereditarily-Finite Sets
3.2. Operations on Key-Objects
3.3. Catalogs are Key-Objects
3.4. Instances as Hereditarily-Finite Sets
3.5. Operations on Key-Object Instances
3.6. Data Stores
3.7. Operations on Stores
Chapter 4: Structured Search Framework
Abstract
4.1. Introduction
4.2. Principles
4.3. General Framework
4.4. Data Store Functionality
Chapter 5: Introduction to KeySQL
Abstract
5.1. Overview
5.2. Catalog Management Language
5.3. Store Manipulation Language
5.4. SHOW Statements
Chapter 6: Structured Search on Database Landscape
Abstract
6.1. Questions and Topics
6.2. Key-Objects and Object-Oriented Programming Paradigm
6.3. Key-Objects and Object-Oriented Databases
6.4. KeySQL and NoSQL
6.5. Query Independence and Data Independence
6.6. KeySQL and MPP Architectures
Chapter 7: Structured Search Solutions
Abstract
7.1. E-Commerce Applications
7.2. Secure Federated System
7.3. Native KeySQL Systems
7.4. Structured Search in Internet Evolution
No. of pages: 114
Language: English
Edition: 1
Published: August 26, 2015
Imprint: Morgan Kaufmann
Paperback ISBN: 9780128046319
eBook ISBN: 9780128046524
MG
Mikhail 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.
Affiliations and expertise
Sr. Data Warehouse Architect, Teradata, San Carlos, CA, USA
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