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Springer IoT and Big Data Analytics - Intelligent Systems 221

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Description

Explore the intersection of connectivity and intelligence with New Trends and Applications in Internet of Things (IoT) and Big Data Analytics. Published by Springer as part of the Intelligent Systems Reference Library, this volume examines how the interconnection of devices, networks, and human resources drives modern technological progress. As the data boom continues to evolve from its origins in the early 2000s, this book provides a deep look into how IoT and big data function within business intelligence and data management. It covers essential frameworks including Hadoop, machine learning, and cloud computing. Readers will learn how these technologies support the development of smart cities and various other sector-specific applications that provide significant benefits to users worldwide. This text is a valuable resource for understanding the practical implementation of large-scale data ecosystems in today's digital landscape.

Key Features

Covers the integration of IoT and big data within business intelligence and data management frameworks.

Examines the role of Hadoop, machine learning, and cloud computing in modern data ecosystems.

Provides insights into the development and application of smart cities through interconnected technologies.

Analyzes the evolution of the data boom from the early 2000s to current technological trends.

Explains how the interconnection of devices and human resources achieves common technological goals.

Discusses diverse IoT-based applications across different sectors and their benefits to users.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 May 2022
Listed Since
24 February 2022

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