Treffer: Advanced ML (Machine Learning) Techniques for Optimizing ETL Workflows with Apache Spark and Snowflake
Title:
Advanced ML (Machine Learning) Techniques for Optimizing ETL Workflows with Apache Spark and Snowflake
Authors:
Source:
Journal of Artificial Intelligence & Cloud Computing. 2:1-6
Publisher Information:
Scientific Research and Community Ltd, 2023.
Publication Year:
2023
Document Type:
Fachzeitschrift
Article
ISSN:
2754-6659
DOI:
10.47363/jaicc/2023(2)339
Accession Number:
edsair.doi...........8af89cf78053874cfba81b5d1ba798d2
Database:
OpenAIRE
Weitere Informationen
The optimization of ETL (Extract, Transform, Load) pipelines using Apache Spark and Snowflake. Apache Spark is a powerful open-source distributed data processing platform, while Snowflake is a cloud-native data warehousing solution. It discusses the challenges and solutions in tuning Spark configurations using machine learning techniques and optimizing Snowflake's architecture for cost efficiency and performance. Experimental results demonstrate significant performance gains and cost savings through these optimizations.