The document discusses building a real-time traffic analytics infrastructure using Azure services. It includes 4 demos: 1) Creating a Stream Analytics job to capture speed camera data and send it to Power BI and Data Lake; 2) Adding patrol car location data from an IoT hub to Stream Analytics; 3) Modifying Stream Analytics to check for matches of speeding vehicles to a list of stolen vehicles stored in Blob; 4) Configuring Service Bus to send warning messages to patrol cars about locations of stolen vehicles observed by cameras. The overall goal is providing real-time traffic and patrol information and alerts.

1. 1
TOPIC

2. 2
TOPIC
Implement traffic
control system
with Big Data
Architecture

3. Who I am
@marcopozzan.it
www.marcopozzan.it
https://www.linkedin.com/in/marcopozzan/
Marco Pozzan
• Consultant and trainer in business intelligence, predictive analytics
• Since 2002, the main activities are related to the design of relational data warehouse and multidimensional design with
Microsoft tools.
• Since 2017 I deal with modern data warehousing and big data architectures
• Teacher at the University of Pordenone in the course of data analysis and data modelling.
• Community Lead of 1nn0va (www.innovazionefvg.net)

4. Agenda
Demo
Event Hub
Stream Analytics
Blob Storage
Data Lake
Service Bus
Power BI

5. REAL TIME ANALYTICS INFRASTRUCTURE

6. Lambda architecture

7. DEMO 1

8. REAL TIME ANALYTICS INFRASTRUCTURE
For the first phase of the
project, you will start building
the traffic surveillance system
to provide information on
average speeds in various
locations.
In this demo, a stream
analytics job will be created
that captures speed camera
data sent to an event hub
from a Visual Studio
application
(SpeedCameraDevice).
You will configure the a
stream analytics job to send
data to a Power BI dashboard
and Azure Data Lake

9. DEMO 2

10. REAL TIME ANALYTICS INFRASTRUCTURE
We will now add the
positions of the police
patrol cars to the traffic
surveillance system.
In this demo, a second
stream analytics job will
be created that acquires
data on the location of
patrol cars from an IoT
hub (using a Visual Studio
application,
PatrolCarDevice, to
generate the raw data).
We will configure the
Stream Analytics job to
send data to a Power BI
report and to Data Lake

11. DEMO 3

12. REAL TIME ANALYTICS INFRASTRUCTURE
The next requirement for the
traffic surveillance system is the
addition of a function for
checking vehicles registered by
speed cameras against a list of
stolen vehicles.
In this exercise, you will modify
the stream analytics job
(TrafficAnalytics) to detect if a
vehicle observed in a speed
camera has been stolen.
We will create an Azure
Storage BLOB and upload a file
containing vehicle theft records
to be used in the a stream
analytics job (in addition to
speed camera data)

13. DEMO 4

14. REAL TIME ANALYTICS INFRASTRUCTURE
Any patrol car located less
than eight kilometers from
the location most recently
reported by the stolen or
speeding vehicle could
then be dispatched to that
location.
The message must contain
the ID of the patrol car, the
registration number of the
stolen vehicle and the
coordinates of the place
where the vehicle was
observed.
In this demo, we will create
a service bus to send
warning messages to patrol
cars on stolen vehicles

15. Thanks
Questions?
www.marcopozzan.it @marcopozzan.it https://www.linkedin.co
m/in/marcopozzan/