In this chapter, we introduced both Spark and how to create a Spark-enabled notebook in IBM Watson Studio, as well as the concept of an ML pipeline.

Finally, we finished up with a practical example of using Spark to perform data analysis and create a visualization to tell a better story about the data.

In the next chapter, we will provide an introduction to deep learning and neural networks on IBM Cloud.