Treffer: Exploration of Python and Scala in Databricks Advantages and Challenges
Title:
Exploration of Python and Scala in Databricks Advantages and Challenges
Authors:
Publisher Information:
International Journal on Science and Technology
Publication Year:
2023
Collection:
Zenodo
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
Language:
English
ISSN:
2229-7677
Relation:
https://zenodo.org/records/15242001; oai:zenodo.org:15242001; https://doi.org/10.71097/IJSAT.v14.i3.1644
DOI:
10.71097/IJSAT.v14.i3.1644
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.62A25F25
Database:
BASE
Weitere Informationen
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.