When digitized entities, connected devices, and microservices interact with intent, they generate vast amounts of multi-structured, real-time streaming data from numerous sources at high speed. Streaming analytics enables the management, monitoring, and real-time analysis of this live data. The importance of this field has grown with the rise of online analytics and the expansion of edge and IoT platforms. True digital transformation across industries is being driven by the careful collection, cleaning, and real-time processing of data, with the goal of capturing and analyzing valuable events to deliver timely and reliable insights.
This book highlights the key challenges associated with streaming data and analytics, explains relevant data analytics algorithms and methods, and introduces edge and fog computing concepts and technologies. It demonstrates how streaming analytics can be implemented in edge device clouds and provides a range of industry use cases, including applications in transportation, cybersecurity, and other business sectors.
The book is intended for researchers, scientists, and engineers in both industry and academia, as well as lecturers and advanced students in data science, cloud/fog/edge computing, IoT, AI, and related fields. It will also be valuable for cloud, edge, and fog architects, analytics professionals, IT operations teams, and site reliability engineers (SREs).
