dm: Analyze, Build and Deploy Relational Data Models

External registration required at nyhackr.org.

Hugo unfortunately woke up sick and cannot speak at the meetup. Luckily, Kirill Müller is visiting from Switzerland and was able to step in on just a few hours notice!

Big thank you to Kirill! We will reschedule Hugo for August.

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Everybody attending must RSVP through the registration form at nyhackr.org. Virtual attendees are free while there is a small charge for in-person to cover the pizza.

If you are attending the event in-person, please read the following:

• Please fill out prior to event: Must use the HealthCheck portal to show proof of vaccination or a negative COVID-19 test within 7 days prior to the event.
• Must show photo ID at check-in.
• Enter through the Microsoft-branded Welcome Center (8th Avenue between 41st and 42nd Street).
• Masks are encouraged.

If attending virtually:

• You will receive the viewing link in your confirmation email.
• You can ask questions using the livestream chat or the #monthly-meetup-chat channel in the nyhackr Slack.

About the Talk:
dm bridges the gap in the data pipeline between standalone data frames and relational databases. Implementing a "grammar of joined tables", it provides a consistent set of verbs for consuming, creating, and deploying relational data models. In this talk I present a short overview of how dm can help your data analysis and ETL processes, and highlight recent developments.

About Kirill:
Kirill has been working on the boundary between data and computer science for more than 20 years. He has been awarded five R consortium projects to improve database connectivity and performance optimization in R. Kirill is a core contributor to several tidyverse packages, including dplyr and tibble. He holds a Ph.D. in Civil Engineering from ETH Zurich and is a founder and partner at Cynkra.
I love to write about all things data; two of my more recent articles from Harvard Business Review are What Data Scientists Really Do, According to 35 Data Scientists and Your Data Literacy Depends on Understanding the Types of Data and How They’re Captured (keep your eyes peeled for Part II of this piece).

The venue doors open at 5:45 PM America/New_York where we continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 6:30 PM America/New_York.

Remember, register at nyhackr.org.