In this chapter, we have installed, configured, and deployed a local analytical development environment consisting of a single-node Apache Spark 2.3.2 and Apache Kafka 2.0.0 cluster that will also allow us to interactively develop Spark applications using Python 3.6 via Jupyter Notebook.
In the next chapter, we will discuss some of the high-level concepts behind common artificial intelligence and machine learning algorithms, as well as introducing Apache Spark's machine learning library, MLlib!
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