Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.Application Design, Systems, and Analytics Henrique Andrade, BuAra Gedik, Deepak Turaga ... Minimally, it must include a sketch of the stream schemas for the live data sources as well as an ER diagram for the static data sources, along with a detailed ... Journal of American Medical Informatics Association (JAMIA). ... The active database management system manifesto: a rulebase of ADBMS features.
|Title||:||Fundamentals of Stream Processing|
|Author||:||Henrique Andrade, Buğra Gedik, Deepak Turaga|
|Publisher||:||Cambridge University Press - 2014-02-13|