Exploration of Python and Scala in Databricks Advantages and Challenges

Author(s)	Hari Prasad Bomma
Country	United States
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.
Keywords	Databricks, Python, Spark Clusters, Machine Language, Apache Spark, Notebook, Delta Lake, Data Lake, Pyspark, JVM
Field	Engineering
Published In	Volume 14, Issue 3, July-September 2023
Published On	2023-07-06
Cite This	Exploration of Python and Scala in Databricks Advantages and Challenges - Hari Prasad Bomma - IJSAT Volume 14, Issue 3, July-September 2023. DOI 10.71097/IJSAT.v14.i3.1644
DOI	https://doi.org/10.71097/IJSAT.v14.i3.1644
Short DOI	https://doi.org/g83jfg

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