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posit::conf(2023) Workshop: DevOps for Data Scientists

Register now: http://pos.it/conf Instructor: Rika Gorn Workshop Duration: 2-Day Workshop This workshop is for you if you: • are a data scientist or analyst who wants to put their work into production, • want to learn a more about Docker containers and virtual machines, or • want to better understand importance of networking, security, storage, and different server architectures to deploying data apps. In this workshop, we will discuss ways to better containerize, deploy, and scale your data products. We'll use both R and shell scripting to virtualize Posit products in the cloud. You'll learn about servers, networking, security, and authorization to be dangerous -- or at least to understand your DevSecOps teams. By the end of the workshop you will have the tools to start deploying your own data science assets into production

May 9, 2023
1 min
RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Reticulate

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Transcript#

This transcript was generated automatically and may contain errors.

Hi, my name is Rika Gorn and I'm a Solutions Engineer at Posit. I help customers install and use Posit's pro products and help them solve complex architectural and infrastructure problems.

I'm really excited to be teaching the first ever two-day DevOps for Data Scientists workshop at PositConf this September in Chicago.

DevOps is the process by which the work of data scientists and developers, whether it's an R Markdown report, a Shiny app, or a model that serves predictions, can be shared and run across devices, across organizations, or even across countries. DevOps ensures that wherever your data products are, they are reliable, reproducible, performant, and secure.

DevOps ensures that wherever your data products are, they are reliable, reproducible, performant, and secure.

I want to share with you my three top reasons why you should join us at the DevOps workshop.

Three reasons to join

First, you will learn the fundamentals of DevOps from the very beginning. If you don't know much about system administration or infrastructure as code, it's totally fine. This course will be made for you.

The second reason why you should join is that we will be learning about DevOps from the lens of data science. You will learn how to move your code data science practices closer to the DevOps ideal using continuous integration and continuous deployment, how to write R code specifically for creating data-intensive applications, and how to use logs to monitor your app.

The third reason why you should join the workshop is that you will leave with code deployed to the cloud. We will be running RStudio server in a Docker container and even be writing our own Docker files.

I'm so excited to see everyone in September and hope to see you at the DevOps for Data Scientists workshop.