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How emStream works?

emStream combines powerful data aggregation features with ability to mine sentiments using a proprietary Natural Language Processing. Built for scale, emStream is used across a wide variety of AI driven use cases which require large volume data processing for actionable insights.


emStream is architected using a modular architecture with three main components - data aggregators, processing engine and visualization. With support for data ingestion across a range of data sources, emSigner's core engine runs on a Apache Spark cluster for Natural Language Processing and Predictive Analytics tasks

Computed data is stored in a NOSQL data store allowing visualizations to be done on Tableau or other popular visualization tools.

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emStream Architecture

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emStream allows advanced graphing capabilities by integrating with leading graph computation technologies such as Apache Spark GraphX, SigmaJS to visually represent relationships and calculate graph densities, shortest paths, network centrality.

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