Name: Streaming Analytics: Concepts, Architectures, Platforms, use Cases and Applications (Computing and Networks) (en Inglés)
Price: 188.78 USD
Availability: InStock
Author: Raj, Pethuru ; Surianarayanan, Chellammal ; Seerangan, Koteeswaran
ISBN: 9781839534164

portada Streaming Analytics: Concepts, Architectures, Platforms, use Cases and Applications (Computing and Networks) (en Inglés)

Streaming Analytics: Concepts, Architectures, Platforms, use Cases and Applications (Computing and Networks) (en Inglés)

Formato

Libro Físico

Ilustrado por

Pethuru Raj

Chellammal Surianarayanan

Koteeswaran Seerangan

Editorial

Institution of Engineering & Technology

Autor

Raj, Pethuru ; Surianarayanan, Chellammal ; Seerangan, Koteeswaran

Idioma

Inglés

N° páginas

468

Encuadernación

Tapa Dura

Dimensiones

23.9 x 16.0 x 2.8 cm

Peso

0.93 kg.

ISBN13

9781839534164

Categorías

Bases de datos
Redes y comunicaciones informáticas

Streaming Analytics: Concepts, Architectures, Platforms, use Cases and Applications (Computing and Networks) (en Inglés)

Pethuru Raj (Ilustrado por) · Chellammal Surianarayanan (Ilustrado por) · Koteeswaran Seerangan (Ilustrado por) · Institution of Engineering & Technology · Tapa Dura

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Reseña del libro "Streaming Analytics: Concepts, Architectures, Platforms, use Cases and Applications (Computing and Networks) (en Inglés)"

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).