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Version: 1.0

Azure Stream Analytics

  • It's PaaS
  • To process streaming data and respond to data anomalies in real time
  • For Internet of Things (IoT) monitoring, web logs, remote patient monitoring, and point of sale (POS) systems
  • Stream Analytics handles security at the transport layer between the device and Azure IoT Hub
  • Stream Analytics guarantees exactly once event processing and at-least-once event delivery, so events are never lost
  • In-memory compute, so it offers high performance

Windows​

Five kinds of temporal windowing functions are supported:

  • Tumbling: window functions segment a data stream into a contiguous series of fixed-size, non-overlapping time segments and operate against them. Events can't belong to more than one tumbling window
  • Hopping
  • Sliding
  • Session
  • Snapshot

Supported inputs​

  • Azure Event Hubs
  • Azure IoT Hubs
  • Azure Blob or Data Lake Gen 2 Storage