Real‐time analytics

Goals

• Continuously analyzing data to report issues or trends.
• Understanding component or system behavior under various conditions to help plan future enhancements.
• Triggering specific actions or alerts when certain events occur or thresholds are exceeded.

Features

• A data stream is unbounded
  • data is added to the stream perpetually.
• Data records in the stream typically include temporal (time-based) data
• Aggregation of streaming data is often performed over temporal windows
• The results can be used to support real-time automation or visualization, or persisted in an analytical store to be combined with other data for historical (batch) analysis.