Data analysis — NVIDIA-Certified Professional Accelerated Data Science

The official NVIDIA documentation our Data analysis practice questions are cited to. Review the primary sources, then practise.

Official references for this objective

Nvidia — Apache Spark™ 3.0:For Analytics & Machine Learning | NVIDIA

GPU acceleration lets them work with up-to-date information and get insights faster. Using GPUs, CapGemini helped an international retailer reduce transaction processing time from days
Nvidia — CUDA-X Data Science Libraries | NVIDIA Developer

cuDF is a toolkit that contains GPU-accelerated libraries to optimize fundamental DataFrame operations. It includes drop-in accelerators for popular DataFrame libraries and SQL engines, like
Nvidia — GPU Accelerated Solutions for Data Science | NVIDIA

End-to-end time = Data Prep + Conversion + Training + Validation
Nvidia — Magnum IO Software Stack for Accelerated Data Centers | NVIDIA

RAPIDS CuIO has achieved up to a 4.5X performance improvement with Parquet files using GDS on large scale workflows