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rstudio::conf(2022)

David A. Zanella

Mayo Clinic
IT Architect
Madison WI

5:30pm EDT

Welcome Reception 6. Riverview Ballroom

7:30am EDT

Breakfast 5. Maryland Academic / Research - Birds of a Feather Maryland 1, 2, & 3

9:00am EDT

Good practices for applied machine learning - from model development to model deployment 0. Potomac A+B

11:00am EDT

R Package Assessment: Lessons from Pharma 3. Cherry Blossom

11:20am EDT

R, Python, and Tableau: A Love Triangle 1. Potomac C

11:40am EDT

Packages and Process 3. Cherry Blossom Demystifying MLOps 2. Potomac D

12:00pm EDT

Pharma / Life Sciences - Birds of a Feather Maryland 1, 2, & 3

1:30pm EDT

Remote Content Execution with RStudio Connect and Kubernetes 2. Potomac D

1:50pm EDT

Scaling and automating R workflows with Kubernetes and Airflow 3. Cherry Blossom Data science in your customers hands on a budget and a deadline: Publishing Customer Facing Products with RStudio Connect 2. Potomac D

2:10pm EDT

An Integrated Workflow: Microsoft Azure DevOps, RStudio Workbench, RStudio Connect 3. Cherry Blossom Project Immortality: Using GitHub To Make Your Work Live Forever 4. National Harbor 10+11 R Shiny - From Conception to the Cloud 2. Potomac D

2:30pm EDT

R Markdown + RStudio Connect + R Shiny: A Recipe for Automated Data Processing, Error Logging, and Process Monitoring 4. National Harbor 10+11 Robust R Deployments: Building a Pipeline from RStudio to Production 2. Potomac D

4:00pm EDT

dbcooper: Turn any database into an R or Python package 4. National Harbor 10+11

4:30pm EDT

The Past and Future of Shiny 0. Potomac A+B

7:30am EDT

Breakfast 5. Maryland Birds of a Feather Breakfast - Variegated Groups 5. Maryland

10:30am EDT

I made an entire e-commerce platform on Shiny 4. National Harbor 10+11

10:50am EDT

The worlds smallest R environment? Running R on a $15 computer 4. National Harbor 10+11 Achieving a seamless workflow between R, Python and SAS from within RStudio 1. Potomac C

11:00am EDT

Making awesome automations with GitHub Actions 2. Potomac D

11:10am EDT

Enterprise-Level Data Science Success 3. Cherry Blossom

11:30am EDT

Running Shiny without a server 1. Potomac C Comparing package versions with Diffify 2. Potomac D

12:00pm EDT

Birds of a Feather - ML/AI with Amazon SageMaker Maryland 1, 2, & 3

1:50pm EDT

Demystifying the art of creating custom libraries for your organization 4. National Harbor 10+11

2:10pm EDT

You should be using renv 4. National Harbor 10+11

4:00pm EDT

An introduction to R7 4. National Harbor 10+11