Exploring the Complexity of Time Series Databases

This chapter covers the historical origins of time series databases, the role of machine learning in database deployment, and the process of rolling out and improving models based on customer feedback. It also discusses recent updates to IOTDB, emerging trends in the database market, and the challenges associated with IoT infrastructures and data privacy.