Exploration of Python and Scala in Databricks Advantages and Challenges

Abstract 
In the ever evolving realm of big data processing and analysis, the choice of programming 
language has become a critical factor in determining the efficiency and effectiveness of data driven 
solutions. Two prominent contenders in this area are Python and Scala. Each boasting a unique 
set of features and capabilities that cater to the diverse needs of data scientists and engineers. This 
article explores the performance and scalability of large scale data processing tasks in Databricks 
using Python and Scala. It delves into the specific advantages and challenges associated with each 
language and provide practical insights and recommendations for data engineers and scientists.