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What is Discretized Streams (DStreams)

Handbook of Research on Big Data Storage and Visualization Techniques
A Discretized Stream or D-Stream groups together a series of RDDs and lets the user manipulate them through various operators. D-Streams provide both stateless operators such as map which act independently on each time interval and stateful operators such as aggregation over a Sliding Window which operate on multiple intervals and may produce intermediate RDDs as state. (Zaharia, 2013 AU65: The in-text citation "Zaharia, 2013" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. )
Published in Chapter:
Distributed Streaming Big Data Analytics for Internet of Things (IoT)
Sornalakshmi Krishnan (SRM University, India) and Kayalvizhi Jayavel (SRM University, India)
DOI: 10.4018/978-1-5225-3142-5.ch012
In this chapter, a discussion on the integration of distributed streaming Big Data Analytics with the Internet of Things is presented. The chapter begins with the introduction of these two technologies by discussing their features and characteristics. Discussion on how the integration of these two technologies benefit in efficient processing of IoT device generated sensor data follows next. Such data centric processing of IoT data powered by cloud, services and other enablers will be the architecture of most of the realtime systems involving sensors and real-time monitoring and actuation. The Volume, Variety and Velocity of sensor generated data make it a Big Data scenario. In addition, the data is real time and requires decisions or actuations immediately. This chapter discusses how IoT data can be processed using distributed, scalable stream processing systems. The chapter is concluded with future directions of such real time Big Data Analytics in IoT.
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