Structured Search for Big Data

Structured Search for Big Data

by Mikhail Gilula
Released August 2015
Publisher(s): Morgan Kaufmann
ISBN: 9780128046524

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Book description

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

Table of contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Quotation
  7. Preface
  8. Acknowledgments
  9. Chapter 1: Introduction to Structured Search
    1. Abstract
    2. 1.1. Limitations of Keyword Search
    3. 1.2. Keyword Search in E-Commerce
    4. 1.3. Limitations of Database Search
    5. 1.4. What is Structured Search?
  10. Chapter 2: Key-Objects vs. Keywords
    1. Abstract
    2. 2.1. Introducing Key-Objects
    3. 2.2. Mary’s Printer
    4. 2.3. Key-Objects and Instances
    5. 2.4. Catalogs and Query Expansion
  11. Chapter 3: Key-Object Data Model
    1. Abstract
    2. 3.1. Key-Objects as Hereditarily-Finite Sets
    3. 3.2. Operations on Key-Objects
    4. 3.3. Catalogs are Key-Objects
    5. 3.4. Instances as Hereditarily-Finite Sets
    6. 3.5. Operations on Key-Object Instances
    7. 3.6. Data Stores
    8. 3.7. Operations on Stores
  12. Chapter 4: Structured Search Framework
    1. Abstract
    2. 4.1. Introduction
    3. 4.2. Principles
    4. 4.3. General Framework
    5. 4.4. Data Store Functionality
  13. Chapter 5: Introduction to KeySQL
    1. Abstract
    2. 5.1. Overview
    3. 5.2. Catalog Management Language
    4. 5.3. Store Manipulation Language
    5. 5.4. SHOW Statements
  14. Chapter 6: Structured Search on Database Landscape
    1. Abstract
    2. 6.1. Questions and Topics
    3. 6.2. Key-Objects and Object-Oriented Programming Paradigm
    4. 6.3. Key-Objects and Object-Oriented Databases
    5. 6.4. KeySQL and NoSQL
    6. 6.5. Query Independence and Data Independence
    7. 6.6. KeySQL and MPP Architectures
  15. Chapter 7: Structured Search Solutions
    1. Abstract
    2. 7.1. E-Commerce Applications
    3. 7.2. Secure Federated System
    4. 7.3. Native KeySQL Systems
    5. 7.4. Structured Search in Internet Evolution

Product information

  • Title: Structured Search for Big Data
  • Author(s): Mikhail Gilula
  • Release date: August 2015
  • Publisher(s): Morgan Kaufmann
  • ISBN: 9780128046524