In this chapter, we will cover the following recipes:

• Structured streaming for near real-time machine learning
• Streaming DataFrames for real-time machine learning
• Streaming Datasets for real-time machine learning
• Streaming data and debugging with queueStream
• Downloading and understanding the famous Iris data for unsupervised classification
• Streaming KMeans for a real-time online classifier
• Downloading wine quality data for streaming regression
• Streaming linear regression for a real-time regression
• Downloading Pima Diabetes data for supervised classification
• Streaming logistic regression for an on-line classifier