To complete our overview of data ingestion possibilities when training, evaluating, and running DL models after exploring them in Chapter 3, Extract, Transform, Load, in this chapter, we explored the different options that are available to us when we perform data streaming.
This chapter concludes the exploration of Apache Spark features. Starting from the next chapter, the focus will be on DL4J and some other deep learning framework features. These will be used in different use case scenarios, where they will be implemented on top of Spark.
