Implement device message processing and data analytics
- Offered byMicrosoft
Implement device message processing and data analytics at Microsoft Overview
Duration | 3 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Implement device message processing and data analytics at Microsoft Course details
- Examine IoT Hub message routing
- Consider message processing options and constraints
- Get started with cloud storage for IoT
- Examine Azure Stream Analytics and Azure Functions
- Explore message processing tasks
- You will learn about the message processing and data analytics capabilities that must be implemented within your Azure IoT solution, and the storage options that are often configured as part of your solution
- This learning path helps prepare you for Exam AZ-220: Microsoft Azure IoT Developer
- This course introduces you to IoT Hub message routing, the common message format implemented by IoT Hub, IoT Hub?s service-facing endpoints, and the message routing query syntax
- This course introduces you to services and service features that can be used with, or as an alternative to, IoT Hub message routing to process messages, and examines IoT Hub message processing limits
Implement device message processing and data analytics at Microsoft Curriculum
Examine IoT Hub message routing
Introduction
Review message processing concepts
Examine the common message format
Examine message routing
Examine the IoT Hub built-in endpoint
Examine routing to multiple endpoints
Examine the message routing query syntax
Knowledge check
Summary
Consider message processing options and constraints
Introduction
Compare IoT Hub message routing with Event Grid integration
Examine message enrichments for D2C messages
Examine IoT Hub quotas and throttling
Knowledge check
Summary
Get started with cloud storage for IoT
Introduction
Examine the IoT Lambda architecture
Review cloud storage options for Azure IoT solutions
Examine Azure Blob storage and storage accounts
Examine Azure Data Lake Gen 2
Examine Azure Cosmos DB
Examine Azure SQL Database
Knowledge check
Summary
Examine Azure Stream Analytics and Azure Functions
Introduction
Get started with Azure Stream Analytics
Examine Azure Stream Analytics use cases
Review ASA patterns and guidelines
Get started with ASA input types
Examine ASA streaming data input
Examine ASA reference data input
Examine the ASA query syntax
Parse complex data types with ASA queries
Examine time handling considerations for ASA queries
Examine the ASA windowing functions
Examine ASA output options
Examine features and characteristics of Azure Functions
Knowledge check
Summary
Explore message processing tasks
Introduction
Implement message routing and Azure Stream Analytics
Knowledge check
Summary
Implement device message processing and data analytics at Microsoft Entry Requirements
- Demonstrate a general understanding of cloud-based solutions, Azure, and Azure services.Explain the features and capabilities of IoT Hub and implement secure device-to-cloud communication between an IoT device and an IoT Hub instance.Describe the Azure IoT SDKs for devices and services, and how Visual Studio Code, Azure CLI, and the Azure Cloud Shell can be used to configure and develop components of an IoT solution.
- Not mentioned
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