AI & Machine Learning
Accelerating Data Engineering Pipelines
Speed up ETL with GPUs.
1 dayIntermediate1 modules
About this course
Speed up ETL with GPUs. This hands-on day explains how data moves through hardware, how file formats affect performance, how to scale pipelines across multiple GPUs with NVTabular and how to build an interactive dashboard over millions of rows.
What you'll learn
- How data moves within a computer. How to build the right balance between CPU, DRAM, Disk Memory, and GPUs.
- How different file formats can be read and manipulated by hardware.
- How to scale an ETL pipeline with multiple GPUs using NVTabular.
- How to build an interactive Plotly dashboard where users can filter on millions of data points in less than a second.
Curriculum
1 modules
- Course Introduction
- Data on the Hardware Level
- ETL with NVTabular
- Data Visualization
- Final Project: Data Detective
Who it's for
Data engineers and data scientists who process large datasets and want faster pipelines.
Before you start
- Intermediate knowledge of Python (list comprehension, objects)
- Familiarity with pandas a plus
- Introductory statistics (mean, median, mode)
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