Get your data
In this part of the tutorial you learn how to obtain some real-time data to work with in the rest of the tutorial. You use a demo data source that generates Formula 1 race car data from a computer game. You use this data as the basis to build a ML model to predict braking patterns.
Create a persisted topic
To make things a little easier, first create a persisted topic to receive the generated data.
-
Log in to Quix.
-
Click
Topics
on the left-hand menu. -
Click the
Add new
, which is located top right. -
Enter a topic name of
f1-data
. -
Leave other values in the
Create new topic
dialog at their defaults. -
Click
Done
. Now wait while the topic is created for you. -
Once the topic has been created, click the persistence slider button to ensure your data is persisted, as shown in the following screenshot:
Generate data from the demo data source
Now generate the actual data for use later in the tutorial by completing the following steps:
-
Click
Code Samples
on the left-hand sidebar. -
Find the
Demo Data
source. This service streams F1 Telemetry data into a topic from a recorded game session. -
Click the
Deploy
button in theDemo Data
panel. -
You can leave
Name
as the default value. -
Make sure
Topic
is set tof1-data
and then clickDeploy
.
Once this service is deployed it will run as a job and generate real-time data to the f1-data
, and this will be persisted.
This data is retrieved later in this tutorial using Python code that uses the Query API, generated for you by Quix.