Singapore dbt Meetup (in-person) - Mar 2024

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, modelling, testing, and team structures.

🗓️ Date and time: 21 Mar (Thurs), from 6:30pm till 9pm
🏠 Venue: Traveloka Singapore
🤝 Organizers: community members Jing Yu Lim, Michael Han
🍕 Food and drinks will be provided!

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

➡️ Join the dbt Slack community: https://www.getdbt.com/community/

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

🕛 Agenda:

• 6:30pm - 7:30pm: Registration and networking with food
• 7:30pm - 8:00pm: Presentation on "Managing dbt test bloat in foodpanda" by Bernard Yeo
• 8:00pm - 8:30pm: Presentation on "Data Localization Journey in Bigquery ID Region with dbt" by Adam Bagaskarta

🎤 Presentation 1: Managing dbt test bloat in foodpanda

• Speaker bio: A Product Analytics Engineer at Delivery Hero (Foodpanda) in Singapore. In his current role, Bernard plays a pivotal role in delivering accessible data-driven solutions across a portfolio of brands that spans across APAC & EU. Beyond analytics, Bernard is an avid cyclist who enjoys delving into insightful articles on Substack and Medium over some Vietnamese coffee.

🎤 Presentation 2: Data Localization Journey in Bigquery ID Region with dbt

• Synopsis: Understanding data localization regulations and leveraging tools like bigquery and DBT are essential for business. By navigating regulatory requirements efffectively, companies can ensure compliance, mitigate risks. and optimze data operations for better insights. We will share our journey in this process.
• Speaker bio: Adam Bagaskarta is a Data engineer at Traveloka with over four years of experience in data engineering, focusing on data pipeline, data warehouse, and data governance. Additionally, he is actively engaged in Google developer group where he contribute to the community, through discussions and best practice sharing.

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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/