What are some of the best Microsoft Azure services for near real-time data streaming?

Businesses are constantly working to distinguish the market and provide their best efforts in today's competitive environment. If data is effectively handled and leveraged to derive value, it can help these businesses stand out. Azure, a public cloud, has made it simple for businesses to glean knowledge from the vast amount of data it gathers daily by offering cutting-edge services like Azure Stream Analytics.

A completely managed stream processing engine called Azure Stream Analytics analyzes and processes massive amounts of streaming data at sub-millisecond latencies. Data originating from several input sources, such as applications, devices, sensors, clickstreams, and social media feeds, can be examined for patterns and linkages. These patterns can be used to start workflows and trigger events like alert creation, information feeding into reporting tools, or storing altered data for future use.

The following scenarios are examples of when you can use Azure Stream Analytics:

• Streaming ETL pipeline to Azure Storage in Parquet format
• Event-driven applications with Azure SQL Database and Azure Cosmos DB
• Analyze real-time telemetry streams and logs from applications and IoT devices
• Real-time dashboarding with Power BI
• Anomaly detection to detect spikes, dips, and slow positive and negative changes in sensor values
• Geospatial analytics for fleet management and driverless vehicles
• Remote monitoring and predictive maintenance of high-value assets
• Clickstream analytics to determine customer behavior