Azure Data Engineer Online Training | Course at Visualpath
                     Azure Stream 
Anallytiics: Reall-Tiime 
Data Processiing
Subtitle:
 Overview and Use Cases in 
Modern Data Architectures
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Introduction to Azure Stream Analytics
• Azure Stream Analytics (ASA) is a real-time analytics 
service from Microsoft Azure that enables users to process 
and analyze streaming data on the fly.
It is serverless, highly scalable, and integrates seamlessly 
with Azure services.
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Why Real-Time Data Processing Matters
• Enables instant insights and decisions
• Useful in IoT, financial services, social media 
monitoring, and fraud detection
• Supports low-latency processing of large volumes 
of data
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Key Features of Azure Stream Analytics
• Real-time data ingestion and processing
• SQL-like query language
• Built-in integration with Azure Event Hubs, IoT Hub, and Blob 
Storage
• Scalable and managed with no infrastructure to maintain
• Output to Power BI, Azure SQL Database, Synapse Analytics, and 
more
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Architecture Overview
Input → Query → Output
• Input Sources: Azure Event Hubs, IoT Hub, Blob 
Storage
• Query Engine: Uses Stream Analytics Query 
Language (SQL-like)
• Output: Dashboards, databases, data lakes
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Use Cases
• IoT Monitoring: Sensor data processing in real time
• Fraud Detection: Instant anomaly detection in 
transactions
• Log Analytics: Real-time monitoring of application 
logs
• Social Media Trends: Streaming analytics for brand 
sentiment
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Integrating with Azure Ecosystem
• Native support with Azure Synapse, Azure 
Functions, Power BI
• Easily integrates into end-to-end data 
pipelines
• Supports machine learning model 
integration for predictive analysis
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Advantages
• Fast deployment with no infrastructure overhead
• Pay-as-you-go pricing model
• Supports time windowing, aggregates, joins, and alerts
• Reliable with built-in checkpointing and recovery
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Conclusion
• Azure Stream Analytics empowers organizations 
to derive actionable insights from streaming 
data in real-time.
With its deep integration into the 
Azure ecosystem, it’s a powerful tool for building 
modern, scalable, and intelligent data 
applications.
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For More Information About 
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Thank You
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