Streaming data is becoming omnipresent. Sensor data is present everywhere, including in heartbeats, brainwaves, electrodermal activity from the skin, audio signals from humans, temperature data, and so on. Since data is continuously streaming, this sensor data requires a complex approach. In this lesson, you will gain experience in using diverse forms of streaming sensor data, along with the analysis of sensor data.
In this chapter, we will cover the following topics:
- Exploring streaming sensor data
- Data lakes, and how to use them in batch processing
- The difference between schema-on-write and schema-on-read
- Temperature sensor data, and visualizing it with Python
