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- Publisher: Engineering Science Reference
- Year: 2019
- Pages: 400
- ISBN-10: 1522574328
- ISBN-13: 9781522574323
- Format: 21.6 x 27.9 x 3.3 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Handbook of Research on Big Data and the IoT (e-book) (used book) | bookbook.eu
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Description
The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.
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- Publisher: Engineering Science Reference
- Year: 2019
- Pages: 400
- ISBN-10: 1522574328
- ISBN-13: 9781522574323
- Format: 21.6 x 27.9 x 3.3 cm, hardcover
- Language: English English
The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.
Reviews