A Journey through Arrow in R
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How to join this free online event with Stephanie Hazlitt, Jonathan Keane and Nic Crane.
Apache Arrow is a software development platform for building high performance applications that process and transport large data sets. It is designed to improve the performance of data analysis methods, and to increase the efficiency of moving data from one system or programming language to another.
In this community call moderated by Stephanie Hazlitt, our speakers, Nic Crane and Jonathan Keane, will lead us through the Arrow R package.
See below for speaker bios and resources.
Speakers
Nic Crane
Nic Crane is an R developer, educator, and general enthusiast, with a background in data science and software engineering. Nic is a member of the Apache Arrow Project Management Committee (PMC) and is the current maintainer of the arrow R package.
Jonathan Keane
Jonathan Keane is an engineering manager with a background in software engineering and data science. Jonathan is a part of the team who maintains the Arrow project including the Arrow R package.
Stephanie Hazlitt
Steph Hazlitt is a data scientist, researcher and R enthusiast. She has spent the better part of her career wrangling data with R and supporting people and teams in learning, creating and sharing data science-related products and open source software.
Resources
- Arrow R Package Documentation, The arrow R package exposes an interface to the Arrow C++ library, enabling access to many of its features in R. It provides low-level access to the Arrow C++ library API and higher-level access through a dplyr backend and familiar R functions.
Join Us!
- Who Everyone is welcome. No RSVP needed, simply connect and/or dial in at the time of the event.
- When Wednesday, 28 June 2023 09:00 PDT (Wednesday, 28 June 2023 16:00 UTC)
- Find your timezone
- Add to Calendar.
-
How
Everyone is welcome. No RSVP needed.
Test your Zoom setup https://zoom.us/test.
Join the meeting: https://numfocus-org.zoom.us/j/89076629765?pwd=cjRFeHN1TlVXdDFRK0FXRnlzcENuZz09
Meeting ID: 890 7662 9765 Passcode: 385358Find your local number to join by phone: https://zoom.us/u/adAyZGMYrE
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