RStudio provides the premiere open source and enterprise-ready professional software for data scientists moving to R from less flexible, proprietary, and expensive analytic platforms. Shiny, 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: January 4th
Time: 11:00 AM EST

Description:

As Shiny apps grow and become more complex, a recurring issue is that of integrating an external database into an app. While this is already possible, so far it’s been mostly up to the app authors to figure out the appropriate database driver for R and how to manage the database connections within the app itself.

The goal of this webinar is to demystify this process and to introduce some brand new features that should make it easier. First, we will cover how to use the dplyr and DBI packages to read data from an external database and also how to prevent SQL injections. Then, we will present the recently released pool package and how it helps you to manage connections, prevent leaks and ensure the best performance (while still using dplyr or DBI semantics).

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.

Interacting with databases from Shiny​ Webinar Registration:


Presenter:

Barbara Bárbara Borges Ribeiro, Software Engineer -  Bárbara is a software engineer working primarily in the Shiny package. She holds a double major in Statistics and Computer Science from Macalester College. After four freezing Minnesota winters, she is back in her warm homeland of Portugal (but to the disappointment of many, she’s not a soccer fan). GitHub

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 January 4th at 11am EST
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.

We apologize for the inconvenience but this webinar has been postponed. We will let you know when it is rescheduled.