This article will walk you through the basic steps of accessing and reading XML files placed at the filestore using python code in the community edition databricks notebook. We will also explore a few important functions available in the Spark XML maven library. Think of this article as a stepping stone in the databricks community edition. Features and functionalities elaborated herein can be scaled at the enterprise level using Enterprise editions of databricks to design reusable file processing frameworks. Requirements We will be using the Spark-XML package from Maven. **Spark 3.0 or above is required on your cluster for working with XML files. This article uses Databricks Community edition, refer to this video tutorial from Pragmatic works for getting started with Databricks Community Edition . Create your first cluster in seconds : The next step is to install the Spark-XML library on your cluster. The cluster needs to be in a running state to install this li...