Structured Search for Big Data
From Keywords to Key-objects
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9 933 Ft
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printed on demand
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Product details:
- Publisher Elsevier Science
- Date of Publication 28 August 2015
- ISBN 9780128046319
- Binding Paperback
- No. of pages114 pages
- Size 228x152 mm
- Weight 110 g
- Language English 0
Categories
Long 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.
MoreTable of Contents:
- Introduction 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
