engleski

Real-time Streaming Data Management, Processing, Analysis and Visualisation

This master thesis addresses the topic of data streams from the very beginning of some kind of dynamic data processing and storage all the way to modern streaming data architectural approach. Concepts that are going to be explained are nature of streaming data, streaming data architectures, streaming data sources, ingestion and transportation, streaming data time frames and event streams, processing, storage and visualisation. Architectural patterns are implemented in Microsoft Azure Streaming data stack. Data streams are continuous flows of data which are streaming from the data sources being ingested into the system. Main purpose of this thesis is to give an overview of the data streams, sources, connections, storage, processing possibilities and main properties.

data ; stream ; architecture ; processing ; storage ; azure ; visualisation

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