Sept. 6, 2023, 4:53 p.m. | Joel Lashmore

NVIDIA Technical Blog developer.nvidia.com

Extract-transform-load (ETL) operations with GPUs using the NVIDIA RAPIDS Accelerator for Apache Spark running on large-scale data can produce both cost savings...

accelerator apache apache spark architecture cost cost savings data data science edge computing etl etl processing extract gpus nvidia nvidia rapids operations performance-optimization rapids running scale spark sql v100

More from developer.nvidia.com / NVIDIA Technical Blog

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

#13721 - Data Engineer - AI Model Testing

@ Qualitest | Miami, Florida, United States

Elasticsearch Administrator

@ ManTech | 201BF - Customer Site, Chantilly, VA