Microsoft Azure Stream Analytics is a serverless scalable
complex event processing Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them. Complex event processing, or CEP, consists of a set of concepts and techniques ...
engine by
Microsoft
Microsoft Corporation is an American multinational corporation, multinational technology company, technology corporation producing Software, computer software, consumer electronics, personal computers, and related services headquartered at th ...
that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications.
Users can set up alerts to detect anomalies, predict trends, trigger necessary workflows when certain conditions are observed, and make data available to other downstream applications and services for presentation, archiving, or further analysis.
Query Language
Users can author real-time analytics using a simple declarative
SQL-like language with embedded support for temporal logic. Callouts to custom code with
JavaScript
JavaScript (), often abbreviated as JS, is a programming language that is one of the core technologies of the World Wide Web, alongside HTML and CSS. As of 2022, 98% of Website, websites use JavaScript on the Client (computing), client side ...
user defined functions extend the streaming logic written in SQL.
Callouts to
Azure Machine Learning helps with predictive scoring on streaming data.
Scalability
Azure Stream Analytics is a serverless job service on Azure that eliminates the need for infrastructure, servers, virtual machines, or managed clusters. Users only pay for the processing used for the running jobs.
IoT applications
Azure Stream Analytics integrates with
Azure IoT Hub to enable real-time analytics on data from
IoT devices and applications.
Real-time Dashboards
Users can build real-time dashboards with
Power BI
Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence. It is part of the Microsoft Power Platform.
Power BI is a collection of software services, apps, and connectors t ...
for a live command and control view. Real-time dashboards help transform live data into actionable and insightful visuals.
Data Input Sources
Stream Analytics supports three different types of input sources -
Azure Event Hubs, Azure IoT Hubs, and
Azure Blob Storage.
Additionally, stream analytics supports Azure Blob storage as the input reference data to help augment fast moving event data streams with static data.
Stream analytics supports a wide variety of output targets. Support for Power BI allows for real-time dashboarding.
Event Hub, Service bus topics and queues help trigger downstream workflows. Support for Azure Table Storage, Azure SQL Databases,
Azure SQL Data Warehouse
Microsoft Azure, often referred to as Azure ( , ), is a cloud computing platform operated by Microsoft for application management via around the world-distributed data centers. Microsoft Azure has multiple capabilities such as software as a ...
, Azure SQL,
Document DB,
Azure Data Lake
Azure Data Lake is a scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud.
History
Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, which is used to store and pr ...
Store enable a variety of downstream analysis and archiving capabilities.
References
External links
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{{Microsoft Azure Services Platform, state=expanded
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