The data model used by Spark is named Resilient Distributed Dataset (RDD), which is a distributed collection of elements that can be processed in parallel. An RDD can be created from an existing collection (a Python list, for example) or from an external dataset, which is stored as a file on the local machine, HDFS, or other sources.
Starting with PySpark
Setting up your local Spark instance
Making a full installation of Apache Spark is not an easy task to do from scratch. This is usually accomplished on a cluster of computers, often accessible on the cloud, and it is delegated to experts of the technology (namely, data engineers). This could be a limitation, because you may then not have access to an environment in which...
