Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach

Python Submitted 23 September 2024Published 12 March 2026
Review

Editor: @HaoZeke (all papers)
Reviewers: @abhishektiwari (all reviews), @Midnighter (all reviews)

Authors

Hernan Picatto (0000-0001-6662-464X), Georg Heiler (0000-0002-8684-1163), Peter Klimek

Citation

Picatto et al., (2026). Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach. Journal of Open Source Software, 11(119), 7695, https://doi.org/10.21105/joss.07695

@article{Picatto2026, doi = {10.21105/joss.07695}, url = {https://doi.org/10.21105/joss.07695}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {7695}, author = {Picatto, Hernan and Heiler, Georg and Klimek, Peter}, title = {Cost-Effective Big Data Orchestration Using Dagster: A Multi-Platform Approach}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Orchestration PaaS Apache Spark Big Data Databricks AWS EMR Cost Efficiency Data Engineering

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066