Big Data: Real-Time Streaming Analytics

Student: Verkhovtseva Anastasiia

Supervisor: Nikolay Golov

Educational Programme: Business Informatics (Master)

Year of Graduation: 2018

The paper examined the main approaches to data processing, which are widely used today for limited and unlimited data using both batch and streaming systems. The work include determining the place of stream processing in the general landscape of large data systems and the comparative analysis of packet and stream processing . Also, the paper provides an overview and comparative analysis of solutions for the implementation of the stream processing system, in particular, Tarantool and VoltDB. In the practical part of the work, a stream processing system was implemented for the selected research object - the online classified - using the Tarantool. Moreover, the experiments were performed to demonstrate the system's capabilities for processing the event flow. This work includes three chapters, introduction, conclusion, bibliography and annex.

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