£114.06

Springer - Development Methodologies for Big Data Analytics

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Description

Improve your understanding of complex data systems with this professional resource from Springer. This book, part of the Transactions on Computational Science and Computational Intelligence series, focuses on the various methodologies used to build big data analytics systems. Readers can explore different frameworks including plan-driven, agile, hybrid, and lightweight approaches. This text provides a structured look at how different development models impact the creation and management of large-scale data environments. It is a valuable addition for professionals and students interested in the intersection of computational science and knowledge management. By studying these diverse methodologies, you can better navigate the technical requirements of modern data architecture and system development.

Key Features

Covers plan-driven and agile methodologies specifically for big data analytics systems.

Explores hybrid and lightweight approaches to suit different development needs.

Part of the Transactions on Computational Science and Computational Intelligence series.

Published by Springer to provide academic and professional depth in computational science.

Provides a foundation for understanding knowledge management in data-heavy environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 November 2023
Listed Since
07 July 2023

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