Accelerating Data Engineering Pipelines

NVIDIA Deep Learning Institute and IAU

In this workshop, we’ll explore how GPUs can improve data pipelines & how data engineering can achieve significant performance acceleration.

College of Computer Science and Information Technology

This is an Instructor-Led Workshop (in Collaboration with the <a href="https://twitter.com/ccsit_club" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">CCSIT Club</a>).<p>The <a href="https://www.nvidia.com/en-us/training/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"><strong>NVIDIA Deep Learning Institute</strong></a> (<strong>DLI</strong>) and <a href="https://www.iau.edu.sa/en/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"><strong>Imam Abdulrahman Bin Faisal University</strong></a>, invite you to attend a hands-on data engineering workshop on Saturday, October 22, 2022, from [09:00 – 17:00 AST Arabia] at Building A11, <a href="https://www.iau.edu.sa/en/colleges/college-of-computer-science-and-information-technology" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"><strong>College of Computer Science and Information Technology</strong></a>, exclusively for verifiable academic students, staff, and researchers.</p><h1>Outline</h1><p>Data engineering is the foundation of data science and lays the groundwork for analysis and modeling. In order for organizations to extract knowledge and insights from structured and unstructured data, fast access to accurate and complete datasets is critical. Working with massive amounts of data from disparate sources requires complex infrastructure and expertise. Minor inefficiencies can result in major costs, both in terms of time and money, when scaled across millions to trillions of data points.</p><p>In this workshop, we’ll explore how GPUs can improve data pipelines and how using advanced data engineering tools and techniques can result  in significant performance acceleration. Faster pipelines produce fresher dashboards and machine learning (ML) models, so users can have the most current information at their fingertips.</p>

<h1>Learning Objectives</h1><p>By participating in this workshop, you’ll learn:</p><ul><li>How data moves within a computer. How to build the right balance between CPU, DRAM, Disk Memory, and GPUs.</li><li>How different file formats can be read and manipulated by hardware.</li><li> How to scale an ETL pipeline with multiple GPUs using NVTabular.</li><li>How to build an interactive Plotly dashboard where users can filter on millions of data points in less than a second.</li></ul>

<h3>Workshop Datasheet</h3><p><a href="https://nvdam.widen.net/s/w8k2lcd5qj/dli-datasheet-accelerating-data-engineering-pipelines-1611490-r2-web" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Download the workshop datasheet</a>.</p>

<h2>Prerequisites</h2><ul><li>Intermediate knowledge of <a href="https://docs.python.org/3/tutorial/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Python</a> (list comprehension, objects).</li><li>Familiarity with <a href="https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">pandas</a> a plus.</li><li><a href="https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/v/statistics-intro-mean-median-and-mode#:~:text=The%20mean%20(average)%20of%20a,Created%20by%20Sal%20Khan." target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Introductory statistics</a> (mean, median, mode).</li></ul>

<h2>Technologies</h2><p>pandas, cuDF, Dask, NVTabular, Plotly.</p>

<h2>Assessment Type</h2><p>Skills-based coding assessments evaluate your ability to efficiently filter through millions of data points in the context of an interactive dashboard.</p>

<h2>Certification</h2><p>Upon successful completion of the assessment, you’ll receive an NVIDIA DLI certificate to recognize your subject matter competency and support your professional career growth.</p>

<h2>Hardware Requirements</h2><p>You’ll need a desktop or laptop computer capable of running the latest version of Chrome or Firefox. You’ll be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud.</p>

<h2>Language</h2><p>English and Arabic.</p>

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Accelerating Data Engineering Pipelines

More events from NVIDIA Deep Learning Institute and IAU

Discover more events from NVIDIA Deep Learning Institute and IAU, from Science & Tech to other experiences you might love.

Accelerating Data Engineering Pipelines

More events from NVIDIA Deep Learning Institute and IAU

Discover more events from NVIDIA Deep Learning Institute and IAU, from Science & Tech to other experiences you might love.

You might also like...

Browse more events with different dates, prices, and formats to find your next great experience.