Los Angeles dbt Meetup [in-person]

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.

🏠Venue Host: 11520 W Pico Blvd, Los Angeles, CA 90064 (https://sorrynotsorryla.com/)
🍕Catering: Light bites and drinks
🤝Organizer: dbt Labs
🤝Venue Co-Sponsor: Census & The OA Club (https://www.getcensus.com/)

Please reach out if you have any dietary restrictions or allergies.
To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

📝Agenda
● 5:00 - 5:25 | Check in/Registration
● 5:25 - 5:30 | Welcome Remarks by dbt Labs
● 5:30 - 6:00 | Speaker 1 + Q&A
● 6:00 - 6:30 | Speaker 2 + Q&A
● 6:30 - 6:45 | Closing Remarks by dbt Labs
● 6:45 - 7:00 | Freeform Jazz

🗣️Presentation 1 Details:
Presentation Description: Data products, like every product, need a go-to-market (GTM) strategy. Without one, your customers (stakeholders) won't understand how your products will benefit them. I'll explain why I think a GTM strategy is the solution to many of the challenges data teams face in 2023. I'll use our data team's GTM strategy at HourWork as an example.

Speaker Bio: Zack Ober is the Analytics Lead at Hourwork. He joined the data team at HourWork almost 1 year ago to build a modern data stack and develop a data culture. Zack is interested in helping people outside of the data profession understand how to use data for their benefit. He occasionally writes about this on his substack, Occam's Data.

🗣️Presentation 2 Details:
Presentation Description: When building dbt models, manual testing is still the most common way to check whether a change to your code had any unintended effects on the data. This process can slow down development and make you less likely to make changes in the future. Join us to learn how open-source data-diff can automate these tests, helping you develop quickly and confidently.

Speaker Bio: Kyle McNair is a data engineer at Datafold, and sits on the Product Experience team, with a focus on internal analytics. As a data practitioner at a data company, he partners with engineering, product, and support to help Datafold deliver data quality solutions to users.Outside of work, Kyle prefers to be outside, very far from a keyboard, responsibly imbibing UV radiation.

EVENT DETAILS:
The doors open at 4:45pm. Presentations begin at 5:30pm. Food and refreshments will be provided. Please RSVP and update status if unable to attend.

DIRECTIONS:
Sorry Not Sorry is a playful rosé-wine and cocktail-forward beer garden and restaurant located in West Los Angeles. Their 4000 square foot open air back patio is the perfect place for you to enjoy the beautiful Southern California weather. They're located right off of the 405 and within a 10 minute drive to the Santa Monica coast.

➡️ Join the dbt Slack community: https://www.getdbt.com/community/
🤝For the best Meetup experience, make sure to join the #local-la(https://getdbt.slack.com/archives/CKHBDNHA6) channel in dbt Slack (https://slack.getdbt.com/).

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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/

The Operational Analytics Club is a Community run by data nerds, for data nerds and fostered with love by Census. Census is the #1 Data Activation platform, powered by Reverse ETL. We transform the data warehouse into a hub for marketing and business operations, empowering everyone to take action with good data. No custom scripts or engineering favors required!

Hundreds of modern companies like Fivetran, Figma, Notion, Rippling, and Canva use Census to sync their customer data to the tools that business teams rely on, achieving outcomes like personalizing marketing for over 100 million users, improving sales productivity by 10x, and reducing support times by 98%.