Event-Data Application

1 - About

Event-Data Application are application that manages immutable event without any notion of a pre-defined lifecycle.

An event-driven application is a stateful application that:

  • ingest events from one or more event streams delivered by a messaging system
  • and reacts to incoming events by triggering computations, state updates, or external actions. They continuously produce and update results as events are consumed.

It's a push model from the perspective of the event creation (because a client may implement a pull model to read the stream of event)

This kind of application are in the Operational Intelligence (Real Time) category (versus Business Intelligence (Trend))

3 - Example

Clickstreams : Suppose you have a website, and every time someone loads a page, you send a user viewed page event to a messaging system. You might then have consumers which do any of the following:

  • Store the message in Hadoop for future analysis
  • Count page views and update a dashboard
  • Trigger an alert if a page view fails
  • Send an email notification to another user
  • Join the page view event with the user’s profile, and send the message back to the messaging system

4 - Type

  • Clickstreams from a website
  • Message - Twitter and social media status updates, SMS messages
  • Application metrics - monitoring OS or any other application (Network telemetry)
  • Machine data (IoT) - sensor streams, GPS coordinates
  • UI: mouse moves and other UI events

5 - Case

  • Fraud detection
  • Rule-based alerting
  • Business process monitoring
  • Web application (social network)
  • Real-time search index building
  • Continuous ETL
  • Large-scale graph analysis

6 - Documentation / Reference

Data Science
Data Analysis
Data Science
Linear Algebra Mathematics

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