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課程目錄: 物聯(lián)網(wǎng)數(shù)據(jù)分析和存儲培訓

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物聯(lián)網(wǎng)數(shù)據(jù)分析和存儲培訓

 

 

 

This course is completely lab-based. There are no lectures or required reading sections.

All of the learning content that you will need is embedded directly into the labs, right where and when you need it.

Introductions to tools and technologies, references to additional content, video demonstrations,

and code explanations are all built into the labs.Some assessment questions will be presented during the labs.

These questions will help you to prepare for the final assessment.The course includes four modules,

each of which contains two or more lab activities. The lab outline is provided below.Module

1: IoT Analytics and Cold StorageLab 1: Configuring the Wind Farm Simulator

Lab 2: Getting Started with Data Lake Storage and AnalyticsModule 2: Warm Storage

Lab 1: Getting Started with Warm Storage

Lab 2: Implementing Business System IntegrationModule 3: Analytics on the EdgeLab 1: Getting Started with IoT Edge

Lab 2: Implementing Analytics on the Edge

Lab 3: Deploying an Azure Function to the IoT EdgeModule 4: Advanced AnalyticsLab 1: Constructing Analytics Queries

Lab 2: Managing Analytics Topologies

Lab 3: Device Management and Analytics