Real-time data analytics for large scale sensor data
Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics....
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
London, United Kingdom
Academic Press
2020
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| Edition: | First edition |
| Series: | Advances in ubiquitous sensing applications for healthcare
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more |
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| Physical Description: | 1 volume illustrations |
| ISBN: | 9780128182420 |