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😎It's here! Our next dbt meetup is coming up and will be hosted at the GameChanger office:

  • 124 E 14th St 17th Floor New York, NY

We are looking forward to socializing and seeing all of the new and familiar faces!

💡dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures.

Our venue has capacity limits, so please only RSVP if you intend to come and reach out to [email protected] if you need to cancel last minute. At anytime, you may update your RSVP status on the Meetup to "Not Going."

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝For the best Meetup experience, make sure to join the #local-nyc channel in dbt Slack (https://slack.getdbt.com/)

dbt is a data transformation framework that lets analysts and engineers collaborate using their shared knowledge of SQL. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust.Learn more: https://www.getdbt.com/

*** 🏠Venue Host: GameChanger 🍕Catering: TBD 🤝Organizer: Brooklyn Data

📣 Agenda and additional details below:

  • 6:30pm Intro remarks \| Refreshments & Conversation
  • 7:00-7:25 Albert Hu + Q&A
  • 7:25-7:50 Sam Werbalowsky + Q&A
  • 7:50-8:00pm Closing remarks
  • 8:00-9:00 Reception & Networking (socializing, light food and refreshments on the rooftop 🍷 🍺 🧀 ☕ 🥤)

✨Speakers:

  • Albert Hu, Sr. Analytics Engineer @ Rec Room
  • Sam Werbalowsky, Data Engineering Tech Lead @ Tee Public

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://www.getdbt.com/legal/health-and-safety-policy

New York dbt meetup (IN-PERSON)

Learn how Rec Room, a fast-growing augmented and virtual reality software startup, is saving 50% of their engineering team's time by using Databricks and RudderStack to power real-time analytics and insights for their 85 million gaming customers.

In this session, you will walk through a step-by-step explanation of how Rec Room set up efficient processes for ingestion into their data lakehouse, transformation, reverse-ETL and product analytics. You will also see how Rec Room is using incremental materialization of tables to save costs and establish an uptime of close to 100%.

Talk by: Albert Hu and Lewis Mbae

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Analytics Data Lakehouse Databricks ETL/ELT
Databricks DATA + AI Summit 2023
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