Program Outline
RAPIDS Accelerator for Apache Spark
Introduces the RAPIDS Accelerator for Apache Spark and the patterns teams can use to improve Spark workload performance.
Delivery
Virtual, On-site, or Hybrid
Duration
2 hours
Product
Apache Spark, RAPIDS Accelerator
Role
Data Engineer
NVIDIA
Data ScienceRAPIDS Accelerator for Apache Spark
Apache Spark, RAPIDS Accelerator
Best Fit
Audience Profile
Who This Program Is For
Built for Spark teams evaluating GPU acceleration for data engineering and analytics workloads.
Overview
Program Summary
Official NVIDIA DLI self-paced course focused on accelerating Apache Spark with the RAPIDS Accelerator.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Accelerate Spark workloads
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Module 1
Accelerate Spark workloads
Learn the foundations of using RAPIDS to improve Spark performance at scale.
- Spark acceleration basics
- RAPIDS-enabled pipeline patterns
Coverage Areas
Topic Coverage
Coverage Item 1
Spark acceleration basics
Coverage Item 2
RAPIDS-enabled pipeline patterns
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your Spark jobs and datasets
- •Add platform sizing and rollout guidance
