Lou Bajuk & Kevin Bolger | Why Data Science in the Cloud? | RStudio (2020)
As business and organizational needs expand, a centralized ecosystem such as the cloud is needed to securely store and access data, conduct analyses, and share results.
We’ll share some examples of what it means to do data science in the cloud and discuss some problems that users may face along the way, and the solutions that RStudio products can provide. We’ll also discuss best practices for migrating to a cloud environment.
What you’ll learn:
- What are the benefits of working in a cloud environment?
- What are the different cloud environments available?
- How do I learn which is the best fit for my organization?
- What should I consider when migrating my data science infrastructure to the cloud?
Webinar materials: https://rstudio.com/resources/webinars/why-data-science-in-the-cloud/
About Lou:
Lou is a passionate advocate for data science software, and has had many years of experience in a variety of leadership roles in large and small software companies, including product marketing, product management, engineering and customer success. In his spare time, his interests includes books, cycling, science advocacy, great food and theater.
About Kevin:
After finishing his education in the University of Limerick, Ireland – Kevin’s passion for data science was cemented. Focusing primarily on data analytics and modelling, he went on to spend the first years of his career working at a biopharmaceutical company, where he led the data team on multiple products. Since moving to Seattle with his Washington native wife, Kevin has spent his spare time enjoying the beautiful PNW and playing ‘hurling’, an ancient gaelic field sport with the Seattle Gaels. He now leads the Data Science team at ProCogia as the Director of Data Solutions – where he works with clients from Biotech to Telecom
rstudio
webinars
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
Ggplot2
Tibble
Readr
Stringr
Tidyr
Purrr
Github
Data Wrangling
Tidy Data
Odbc
Rayshader
Plumber
Blogdown
Gt
Lazy Evaluation
Tidymodels
Statistics
Debugging
Forcats
Rstats
Open Source
OSS
Reticulate
Lou Bajuk
Kevin Bolger
Cloud Based Data Science
Cloud
