Accelerating Data Engineering Pipelines (ADEP)

 

Course Overview

Explore how to employ advanced data engineering tools and techniques with GPUs to significantly improve data engineering pipelines.

Please note that once a booking has been confirmed, it is non-refundable. This means that after you have confirmed your seat for an event, it cannot be cancelled and no refund will be issued, regardless of attendance.

Prerequisites

  • Intermediate knowledge of Python (list comprehension, objects)
  • Familiarity with pandas a plus
  • Introductory statistics (mean, median, mode)

Course Objectives

  • 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.

Follow On Courses

Prix & Delivery methods

Formation en ligne

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1 jour

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  • sur demande
Formation en salle équipée

Durée
1 jour

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  • sur demande

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