Azure Stream Analytics
November 21, 2020 by Meenal Sarda Leave a Comment
If you have incoming live streaming data that you wish to store or get
insights by transforming it, or report on it with Power BI, but confused with
the right Azure Service to process this data, then Azure Stream Analytics
is the one you are looking for.
Azure Stream Analytics is the perfect solution when you require a fully
managed service with no infrastructure setup hassle, and you pay only for
what you use.
In this blog, we are going to cover:
1. Overview of Azure Stream Analytics
2. Benefits of Azure Stream Analytics
3. How does Azure Stream Analytics Work?
4. Use Cases of Azure Stream Analytics
5. Steps To Create A Stream Analytics Job Using Azure Portal
Azure Stream Analytics is a real-time and complex event-processing
engine designed for analyzing and processing high volumes of fast
streaming data from multiple sources simultaneously.
Patterns and relationships can be identified in information extracted from
multiple input sources including devices, sensors, applications, and more.
These patterns can be used for triggering actions and initiate workflows such
as creating alerts, feeding information to a reporting tool, or storing
transformed data for later use. Azure Stream Analytics is available on Azure
IoT Edge runtime, enabling to process data on IoT devices.
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Benefits Of Azure Stream
It is easy to start and create an end-to-end pipeline.
It is a fully managed offering on Azure.
It can run in the cloud, for large-scale analytics, or run on IoT Edge or Azure
Stack for ultra-low latency analytics.
It is available across multiple regions worldwide.
It is designed to run mission-critical workloads and supports reliability,
security, and compliance requirements.
It encrypts all incoming and outgoing communications.
It can process millions of events every second and deliver r