Big Data Integration Theory is popular PDF and ePub book, written by Zoran Majkić in 2014-01-23, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Big Data Integration Theory can be Read Online from any device for your convenience.
Big Data Integration Theory Book PDF Summary
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/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth. An analysis method is also developed that combines techniques from second order logic, data modeling, co-algebras and functorial categorial semantics. Features: provides an introduction to logics, co-algebras, databases, schema mappings and category theory; describes the core concepts of big data integration theory, with examples; examines the properties of the DB category; defines the categorial RDB machine; presents full operational semantics for database mappings; discusses matching and merging operators for databases, universal algebra considerations and algebraic lattices of the databases; explores the relationship of the database weak monoidal topos w.r.t. intuitionistic logic.
Detail Book of Big Data Integration Theory PDF
- Author : Zoran Majkić
- Release : 23 January 2014
- Publisher : Springer Science & Business Media
- ISBN : 9783319041568
- Genre : Computers
- Total Page : 528 pages
- Language : English
- PDF File Size : 15,5 Mb
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