IoT Functional

IoT Mind Map

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IoT Functional by Mind Map: IoT Functional

1. Manage

1.1. IoT Hub

1.1.1. IoT Hub Device Registry

1.1.1.1. Individual registration

1.2. Device Provisioning Service

1.2.1. Onboarding @ Scale

1.2.1.1. Group Enrollment

1.2.1.2. Individual Enrollment

1.2.2. Cross-region IoT Hub

1.2.3. Re-Provisioning

1.2.4. Custom Provisioning Logic

1.3. IoT Plug & Play

2. Ingress

2.1. IoT Hub

2.1.1. "Things"

2.1.1.1. Standalone Devices

2.1.1.1.1. Low Cost / Low Power / Low capacity

2.1.1.1.2. Firmware

2.1.1.1.3. Agent (brownfield augmentation)

2.1.1.1.4. Azure Sphere

2.1.1.2. Edge Gateway (IoT Edge)

2.1.1.2.1. Operating System

2.1.1.2.2. Docker Containers

2.1.1.2.3. Kubernetes

2.1.1.2.4. AI Capabilities

2.1.1.2.5. Partial Offline Capabilities

2.1.1.3. Device Firmware / Code

2.1.1.3.1. Connecting to Azure

2.1.1.3.2. Authenticating to Azure

2.2. 3rd party IoT Platforms

2.2.1. High Volume

2.2.1.1. Historian

2.2.1.1.1. OSI PI

2.2.1.1.2. GE Historian

2.2.1.1.3. InfluxDB

2.2.1.1.4. ...

2.2.2. Low Volume

2.2.2.1. LPWAN (Remote Devices)

2.2.2.1.1. LoraWan

2.2.2.1.2. Sigfox

2.2.2.1.3. NB-IoT

3. Egress

3.1. Lambda Architecture

3.1.1. Data Pipeline

3.1.1.1. Hot Path

3.1.1.1.1. near Real-Time event reaction

3.1.1.2. Warm Path

3.1.1.2.1. Latency is important but not stringent

3.1.1.3. Cold Path

3.1.1.3.1. Batch Processing

3.1.1.3.2. Long Term Archiving

3.1.2. Event Queueing / Brokers

3.1.2.1. Event Grid

3.1.2.2. Event Hub (kafka)

3.1.2.3. Service Bus

3.1.3. Event Processing

3.1.3.1. Azure Functions

3.1.3.2. Azure Stream Analytics

3.1.3.3. Azure Digital Twin

3.2. Data Services

3.2.1. Azure Storage

3.2.2. Azure Datalake

3.2.3. Azure Databases (SQL / Posgres)

3.2.4. Cosmos DB

3.2.5. Azure Data Explorer

3.2.6. Azure Data Factory

3.2.7. Databrick

3.3. AI / ML

3.3.1. Azure ML

3.3.2. Cognitive Service

3.4. Visualization

3.4.1. Power BI

3.4.2. Azure Time Series Insight

3.4.3. IoT Central

3.4.4. Azure Maps

3.4.5. Custom Application (Mobile / Web)

3.4.6. 3rd party visualization (e.h. Tableau, Grafana)

4. Scenarios / Cx Roles

4.1. Role

4.1.1. HW Manufacturer

4.1.2. Solution developer

4.1.3. Solution Operator

4.2. Scenario

4.2.1. Industrial Internet of Things

4.2.2. Smart Products

4.2.3. Intelligent buildings and cities

4.3. Initial condition

4.3.1. Green Field

4.3.2. Brown Field

5. Azure Offering

5.1. PaaS offering

5.1.1. IoT Hub

5.1.2. IoT Edge

5.1.3. Device Provisioning Services

5.1.4. Azure Digital Twin

5.1.4.1. Not yet in scope of FTA

5.1.5. Azure IoT Plug & Play

5.1.5.1. Not yet in scope of FTA

5.1.6. Azure Maps

5.1.6.1. Not yet in scope of FTA

5.1.7. Defender for IoT

5.2. Open Source

5.2.1. Industrial IoT

5.2.2. LoraWAN Stack (LPWAN)

5.3. SaaS offering

5.3.1. Time Series Insights

5.3.1.1. Visualization Layer (UI)

5.3.1.2. Time Series Database

5.3.1.2.1. Hotpath (ADX)

5.3.1.2.2. Coldpath (Azure Datalake)

5.3.1.3. Query API Layer

5.3.2. IoT Central

5.3.2.1. Complete Dashboarding Solution

5.3.2.2. Embedded Ingestion pipeline

5.3.2.3. Device Management

5.3.2.4. Command and Control