Before we deep dive into the Spark programming model, we should first arrive at an acceptable definition of what Spark is. We believe that it is important to understand what Spark is, and having a clear definition will help you to choose appropriate use cases where Spark is going to be useful as a technological choice.
There is no one silver bullet for all your enterprise problems. You must pick and choose the right technology from a plethora of options presented to you. With that, Spark can be defined as:
Spark is a distributed in-memory processing engine and framework that provides you with abstract APIs to process big volumes of data using an immutable distributed collection of objects called Resilient Distributed Datasets. It comes with a rich set of libraries, components, and tools, which let you write-in memory-processed distributed code in an...
