Big data integration theory : theory and methods of database mappings, programming languages, and semantics / Zoran Majkic.
Material type:
TextSeries: Texts in computer sciencePublication details: Cham : Springer, 2014.Description: xx, 516 p. : illustrations ; 24 cmISBN: - 9783319041551
- 005.74 23 M233
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 005.74 M233 (Browse shelf(Opens below)) | Available | 136277 |
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| 005.74 L991 Database administrator | 005.74 M182 Information system methodologies | 005.74 M217 Knowledge management systems | 005.74 M233 Big data integration theory : | 005.74 M234 Database management systems | 005.74 M234 Database management systems | 005.74 M346 Data mining the web: uncovering patterns in web content, structure, and usage |
Includes bibliographical references and index.
1. Introduction and Technical Preliminaries --
2. Composition of Schema Mappings: Syntax and Semantics --
3. Definition of DB Category --
4. Functorial Semantics for Database Schema Mappings --
5. Extensions of Relational Codd's Algebra and DB Category --
6. Categorial RDB Machines --
7. Operational Semantics for Database Mappings --
8. The Properties of DB Category --
9. Weak Monoidal DB Topos--
Index.
This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration and exchange and peer-to-peer computing. Includes practical examples.
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