Streaming analytics: concepts, architectures, platforms, use cases and applications
When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time a...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Stevenage
The Institution of Engineering and Technology
2022
|
| Schriftenreihe: | IET computing series
44 |
| Online-Zugang: | DE-91 DE-706 Volltext |
| Zusammenfassung: | When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time analytics of live streaming data. The topic has grown in importance due to the emergence of online analytics and edge and IoT platforms. A real digital transformation is being achieved across industry verticals through meticulous data collection, cleansing and crunching in real time. Capturing and subjecting those value-adding events is considered to be the prime task for achieving trustworthy and timely insights. The authors articulate and accentuate the challenges widely associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases across cloud system operations in transportation and cyber security and other business domains. The book will be of interest to ICTs industry and academic researchers, scientists and engineers as well as lecturers and advanced students in the fields of data science, cloud/fog/edge architecture, internet of things and artificial intelligence and related fields of applications. It will also be useful to cloud/edge/fog and IoT architects, analytics professionals, IT operations teams and site reliability engineers (SREs). |
| Beschreibung: | 1 Online-Ressource (xx, 446 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781839534171 |
| DOI: | 10.1049/PBPC044E |
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| illustrated | Illustrated |
| index_date | 2024-07-03T20:52:12Z |
| indexdate | 2024-12-12T13:03:12Z |
| institution | BVB |
| isbn | 9781839534171 |
| language | English |
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| physical | 1 Online-Ressource (xx, 446 Seiten) Illustrationen, Diagramme |
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| publisher | The Institution of Engineering and Technology |
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| series2 | IET computing series |
| spelling | Streaming analytics concepts, architectures, platforms, use cases and applications edited by Pethuru Raj, Chellammal Surianarayanan, Koteeswaran Seerangan and George Ghinea Stevenage The Institution of Engineering and Technology 2022 1 Online-Ressource (xx, 446 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier IET computing series 44 When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time analytics of live streaming data. The topic has grown in importance due to the emergence of online analytics and edge and IoT platforms. A real digital transformation is being achieved across industry verticals through meticulous data collection, cleansing and crunching in real time. Capturing and subjecting those value-adding events is considered to be the prime task for achieving trustworthy and timely insights. The authors articulate and accentuate the challenges widely associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases across cloud system operations in transportation and cyber security and other business domains. The book will be of interest to ICTs industry and academic researchers, scientists and engineers as well as lecturers and advanced students in the fields of data science, cloud/fog/edge architecture, internet of things and artificial intelligence and related fields of applications. It will also be useful to cloud/edge/fog and IoT architects, analytics professionals, IT operations teams and site reliability engineers (SREs). Chelliah, Pethuru Raj ca. 20./21. Jahrhundert (DE-588)1088794912 edt Surianarayanan, Chellammal ca. 20./21. Jahrhundert (DE-588)1201601037 edt Seerangan, Koteeswaran edt Ghinea, George edt Erscheint auch als Druck-Ausgabe 978-1-83953-416-4 https://doi.org/10.1049/PBPC044E Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Streaming analytics concepts, architectures, platforms, use cases and applications |
| title | Streaming analytics concepts, architectures, platforms, use cases and applications |
| title_auth | Streaming analytics concepts, architectures, platforms, use cases and applications |
| title_exact_search | Streaming analytics concepts, architectures, platforms, use cases and applications |
| title_exact_search_txtP | Streaming analytics concepts, architectures, platforms, use cases and applications |
| title_full | Streaming analytics concepts, architectures, platforms, use cases and applications edited by Pethuru Raj, Chellammal Surianarayanan, Koteeswaran Seerangan and George Ghinea |
| title_fullStr | Streaming analytics concepts, architectures, platforms, use cases and applications edited by Pethuru Raj, Chellammal Surianarayanan, Koteeswaran Seerangan and George Ghinea |
| title_full_unstemmed | Streaming analytics concepts, architectures, platforms, use cases and applications edited by Pethuru Raj, Chellammal Surianarayanan, Koteeswaran Seerangan and George Ghinea |
| title_short | Streaming analytics |
| title_sort | streaming analytics concepts architectures platforms use cases and applications |
| title_sub | concepts, architectures, platforms, use cases and applications |
| url | https://doi.org/10.1049/PBPC044E |
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