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).
