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Springer Functional Approach to Data Management - Springer

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Description

This Springer publication explores the powerful integration of functional data models and functional programming languages, offering sophisticated approaches to managing heterogeneous data across complex applications. Written for database professionals and researchers, the book combines tutorial guidance with advanced techniques essential for modern bioinformatics, security systems, criminal investigations and engineering projects. Over 20 years of research demonstrates how functional programming paradigms synergise with data management theory to solve demanding computational challenges. The text bridges theoretical foundations with practical implementation strategies, making it an authoritative resource for information systems specialists seeking to enhance their understanding of data modelling, analysis and integration in heterogeneous environments.

Key Features

The Functional Approach to Data Management integrates functional programming languages with data model theory for complex application development.

Covers practical applications in bioinformatics, national security, criminal investigations and advanced engineering projects requiring sophisticated data handling.

Springer publication includes tutorial introduction by editors designed to guide readers through foundational concepts and advanced implementations.

Addresses heterogeneous data integration challenges using functional programming paradigms developed over 20+ years of research.

Provides information systems professionals with proven methodologies for data modelling, analysis and management in demanding computational environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 September 2003
Listed Since
13 December 2006

Barcode

No barcode data available

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