Azure Stream Analytics
Real-time analytics on fast-moving streaming data.
Learning
Learning Paths
You'll learn about the message processing and data analytics capabilities that must be implemented within your IoT solution by using IoT Hub, and the storage options that are often configured as part of your solution.
Levels: Intermediate
Roles: Developer, Administrator, Solution Architect
Modules
- Examine Azure IoT Hub message routing
- Consider Azure IoT Hub message processing options and constraints
- Examine Cloud storage options for Azure IoT Hub solutions
- Examine Azure Stream Analytics and Azure Functions in Azure IoT Hub solutions
- Guided project - Route and process messages from your Azure IoT Hub devices
An introduction to the world of machine learning that shows you how to take a real-life problem that NASA faces and apply machine learning to solve it.
Levels: Beginner
Roles: Student, Data Scientist
Modules
Implement a Data Streaming Solution with Azure Stream Analytics
Levels: Beginner
Roles: Data Analyst, Data Engineer
Modules
Learning Modules
This module introduces you to processing IoT data with Azure Stream Analytics and Azure Functions, the capabilities provided by the Stream Analytics service, and the configuration options for Stream Analytics inputs, outputs, and queries.
Azure Stream Analytics provides a real-time data processing engine that you can use to ingest streaming event data into Azure Synapse Analytics for further analysis and reporting.
Azure Architects design and recommend data integration solutions.
Get started with Azure Stream Analytics
Get an introduction to how NASA chooses dates for a rocket launch and discover machine learning fundamentals.
In this workshop, you'll go through tasks to deploy Spring Boot microservices to Azure Spring Apps (ASA).
This module provides you with experience analyzing and processing IoT device messages using IoT Hub message routing and the Azure Stream Analytics services, and experience configuring Azure Blob storage for your device data.
By combining the stream processing capabilities of Azure Stream Analytics and the data visualization capabilities of Microsoft Power BI, you can create real-time data dashboards.