Since 2015, Power BI users have been able to analyze data in real-time thanks to the integration with other Microsoft products and services. With streaming dataflow, you'll bring real-time analytics completely within Power BI, removing most of the restrictions we had, while integrating key analytics features like streaming data preparation and no coding. To see it in action, we will study a specific case of streaming such as IoT with Azure IoT Central.

1. #GlobalAzureTorino
7 maggio 2022

2. https://www.slideshare.net/
marco.parenzan
https://github.com/marcop
arenzan
https://www.linkedin.com/i
n/marcoparenzan/
Marco Parenzan

3. We are 1nn0va!
First Global Azure Bootcamp in Italy in
2014!

4. #GlobalAzureTorino

5. Agenda

7. IoT Hub
Container
Registry
Kubernetes
Service
Compute
(VMs)
Content
Delivery
Network
Data
Explorer
Front Door
Resource
Manager
(ARM)
Storage
Domain
Name
System
Microsoft
Flow
Key Vault
Service Bus
Applicatio
n Insights
Functions
SQL Azure
Cosmos DB
Web Apps
Azure Stream
Analytics
Event Hub
Device
Provisioning
Service Time Series
Insights
Maps
Facts

8. Power BI
PowerApps Web Apps
Mobile Apps
Manage
View and manage solutions
Azure Sphere
Secured MCU Secured OS Cloud Security
Business Integration
Connect to business apps & services
Office 365
Dynamics 365
Edge Modules:
• Protocol Adaptation
• Functions
• Stream Analytics
• Machine Learning
• AI
Azure
IoT Edge
3rd Party applications
Azure IoT Device SDK
3rd Party Industry specific sensors & devices
(RTOS, Linux, Windows, Android, iOS)
IoT Hub
Container
Registry
Kubernetes
Service
Compute
(VMs)
Content
Delivery
Network
Data
Explorer
Front Door
Resource
Manager
(ARM)
Storage
Domain
Name
System
Microsoft
Flow
Key Vault
Service Bus
Applicatio
n Insights
Functions
SQL Azure
Cosmos DB
Web Apps
Azure Stream
Analytics
Event Hub
Device
Provisioning
Service Time Series
Insights
Maps
Your options for building IoT solutions

9. Which IoT?

10. Data Logger, Protocol Adapters, SCADA, ...
UNO-2372
WISE-4250
https://github.com/Azure/azure-iot-
device-
ecosystem/blob/master/get_started/e
mbedded-linux-ecu-1251-c.md
https://devicemodels.azure.co
m/dtmi/advantech/wise_4250a
s_s231-1.expanded.json
WISE-710

11. Needs

13. Power BI
PowerApps Web Apps
Mobile Apps
Manage
View and manage solutions
Azure Sphere
Secured MCU Secured OS Cloud Security
Business Integration
Connect to business apps & services
Office 365
Dynamics 365
Edge Modules:
• Protocol Adaptation
• Functions
• Stream Analytics
• Machine Learning
• AI
Azure
IoT Edge
3rd Party applications
Azure IoT Device SDK
3rd Party Industry specific sensors & devices
(RTOS, Linux, Windows, Android, iOS)
IoT Hub
Container
Registry
Kubernetes
Service
Compute
(VMs)
Content
Delivery
Network
Data
Explorer
Front Door
Resource
Manager
(ARM)
Storage
Domain
Name
System
Microsoft
Flow
Key Vault
Service Bus
Applicatio
n Insights
Functions
SQL Azure
Cosmos DB
Web Apps
Azure Stream
Analytics
Event Hub
Device
Provisioning
Service Time Series
Insights
Maps
Your options for building IoT solutions

14. Power BI
PowerApps Web Apps
Mobile Apps
Manage
View and manage solutions
Azure Sphere
Secured MCU Secured OS Cloud Security
Business Integration
Connect to business apps & services
Office 365
Dynamics 365
Edge Modules:
• Protocol Adaptation
• Functions
• Stream Analytics
• Machine Learning
• AI
Azure
IoT Edge
3rd Party applications
Azure IoT Device SDK
3rd Party Industry specific sensors & devices
(RTOS, Linux, Windows, Android, iOS)
IoT Hub
Container
Registry
Kubernetes
Service
Compute
(VMs)
Content
Delivery
Network
Data
Explorer
Front Door
Resource
Manager
(ARM)
Storage
Domain
Name
System
Microsoft
Flow
Key Vault
Service Bus
Applicatio
n Insights
Functions
SQL Azure
Cosmos DB
Web Apps
Azure Stream
Analytics
Event Hub
Device
Provisioning
Service Time Series
Insights
Maps
But IoT adoption remains very challenging
Your options for building IoT solutions
Simplify production-ready IoT solution development
• Simplify setup, reduce management burden, operational
costs, and overhead of a typical IoT project.
• Bring solutions to market faster, while staying focused
on your customers
Azure IoT Central
Build with Azure IoT Central, our IoT App
Platform
 Highly secure
 Enterprise-grade
 Predictable pricing
 Industry-focused

15. “Build with” patterns (from Industry
Application Templates)

16. Common Architectures
Telemetry from devices or sensors is
sent to a gateway device or directly
to IoT Central
Data is sent, aggregated and
analyzed in IoT Central
Data is routed to other Azure services for manipulation –
storage, reformatting, integration to business workflows and
applications, etc.
Azure services like ASA or Azure Functions can be used to
reformat data streams and send them to storage accounts
Logic apps can be used to power business applications

17. Azure IoT Central Values

18. Pricing Model
Standard Tier 0 Standard Tier 1 Standard Tier 2
Price per device
€0,07 al mese €0,34 al mese €0,59 al mese
Monthly device message allocation* 400 messages 5,000 messages 30,000 messages
Included free quantity per IoT Central
application
2 free devices
(800 included messages)
2 free devices
(10,000 included messages)
2 free devices
(60,000 included messages)
Use case For devices sending a few messages
per hour
For devices sending a few messages
per hour
For devices sending a message every
few minutes
Overage pricing per 1K messages1 €0.060 per 1K messages €0.013 per 1K messages €0.013 per 1K messages
*Total message allocation is shared across all devices in an IoT Central application

19. Azure IoT Central REST API

20. The integration model of IoT Central

23. Che cosa sono gli streaming dataflow

24. Che cosa sono gli streaming dataflow

25. Creazione di uno streaming dataflow

26. Componenti dello streaming dataflow

27. Input: Event Hub

28. Input: Iot Hub
Chiedi a Parenzan «e IoT Central?»

29. Considerazioni su Event Hub e IoT Hub

30. Input: Blob Storage

31. Trasformazione: Filtro

32. Trasformazione: Gestisci i campi

33. Trasformazione: Aggregato

34. Trasformazione: Aggiungi (Join)

35. Trasformazione: Raggruppa per

36. Trasformazione: Raggruppa per

37. Trasformazione: Raggruppa per

38. Trasformazione: Raggruppa per

39. Trasformazione: Raggruppa per

40. Trasformazione: Raggruppa per

41. Output: Table

42. Eseguire un flusso

43. Connettersi a un streaming dataflow

44. Connettersi a un streaming dataflow

45. Connettersi a un streaming dataflow

46. Limitazioni

47. Licenze

51. Conclusions