RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: November 29th
Time: 11:00 a.m. EDT

Description:

RStudio makes it easy to access and analyze your data with R. RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases. These drivers will help you:

  • Explore your databases using the RStudio IDE
  • Develop and deploy Shiny applications that depend on databases
  • Use databases with R in a production environment

This webinar will introduce you to our standards-based, supported, professional ODBC drivers. These are the drivers to use when you run R or Shiny with your production systems. It will also cover some of the most popular databases available today that we connect to including:

  • Microsoft SQL Server
  • Oracle
  • PostgreSQL
  • Amazon Redshift
  • Apache Hive
  • Apache Impala
  • Salesforce

Logistics:

Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.

Introducing Drivers Webinar Registration:


Presenter:

Nathan Stephens Nathan Stephens, Director of Solutions Engineering -  Nathan has a background in analytic solutions and consulting. He has experience building data science teams, architecting analytic infrastructure, and delivering innovative data products. He is a long time user of R.

Webinar Recordings:

We try to record every webinar we host and post all materials on our website.
http://www.rstudio.com/resources/webinars/

Slides & Code:

We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.
https://github.com/rstudio/webinars


Live on November 29th at 11AM EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.