China dbt Meetup (Virtual, in Chinese)

What are dbt meetups? 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.

Amazon Web Services is an open cloud platform. We embrace open source and are committed to making Amazon Web Services an excellent choice for developers to use open source technologies. This event aims to explore some best practices for building and using open source data software products on Amazon Web Services.
dbt is a popular open source data conversion tool that can achieve data conversion through SQL, convert commands into tables or views, and improve the work efficiency of data analysis engineers through modular modeling and integrated testing, lineage and other tools.

This Meetup will focus on the practical sharing of using dbt Core/dbt Cloud. Senior data engineers from first-tier Internet companies, data analysis product experts from Amazon Web Services, and Amazon Web Services solution engineers will jointly bring interpretations of dbt features, hands-on practices, and how to help data analysis engineers improve data processing efficiency and optimize data links in enterprise practice.

🤝Organizer: Xin Zhang
🏠Venue Host: Online

To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

📝Agenda
https://dev.amazoncloud.cn/activity/activityDetail/meetup?id=6723487d5051611ff0b2eed0

## Digital Agenda - UTC +8 Shanghai Time

October 12, 2024, 7:00 PM - 9:00 PM

• 7:00 - 7:05 | Openning (5 min)
• 7:05 - 7:30 | Recap of Coalesce 2024 Keynote: Innovating with dbt (25 min)
• 7:30 - 8:00 | Best Practices for Using Amazon Redshift and dbt
• 8:00 - 8:30 | Catch Data Issues with dbt! Data Quality Checks with dbt test
• 8:30 - 9:00 | Semantic Layer: What it is and how to adopt it with dbt
• Closing

🗣️Presentation #1:Tristan Handy
Recap of Coalesce 2024 Keynote: Innovating with dbt
Description:dbt Labs co-founder and CEO, Tristan Handy, unveils his vision for the analytics development lifecycle, highlighting how our mission to make data and AI more accessible and trustworthy is fueling innovation.

Speaker bio: Tristan Handy is the Founder and CEO of dbt Labs. dbt is an emerging leader in the data transformation space. It's used by 40,000 companies including JetBlue, HubSpot, Dunelm, and SunRun. Tristan has over two decades of experience as a data practitioner working in both large enterprises and startups. His expertise and data industry best practices have influenced thousands of subscribers and listeners weekly via his newsletter and podcast covering analytics engineering.

🗣️Presentation #2: Wenhui Yang
Practices for Using Amazon Redshift and dbt

Description: In modern data analytics, Amazon Redshift and dbt have become essential tools for data teams, helping organizations manage large-scale data analysis tasks more effectively. This event will delve into how to efficiently combine Amazon Redshift and dbt to build stable and optimized data pipelines. By sharing best practices, you will learn how to leverage Redshift’s powerful computational capabilities and dbt’s flexible data modeling functions to optimize data loading, transformation, and query performance. Additionally, we will introduce how to use dbt’s version control and documentation features to enhance data governance, ensuring the maintainability and scalability of data workflows.

Speaker bio: Amazon Web Services Redshift Specialist Solutions Architect, primarily responsible for consulting and designing data analytics solutions based on Redshift and other related technologies. He has a strong theoretical foundation and practical experience in distributed systems, compute engines, storage engines, scheduling engines, data architecture, performance optimization, data engineering, mathematical optimization, data science, and machine learning.
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🗣️Presentation #3: Sally
Catch Data Issues with dbt! Data Quality Checks with dbt test

Description: Data quality testing is the practice of making assertions about your data, and then testing whether these assertions are valid. This presentation will demonstrate how to conduct data quality testing in dbt.

Speaker bio: Senior Data Engineer with extensive experience in corporate data lake and data warehousing. Ex-WeWorker. Passionate dbt developer. Utilizing dbt indeed resolved tons of issues faced by traditional data modeling. A modernized, streamlined approach is exactly what is needed for today’s complex data modelling & transformation. Happy to share my experience, and look forward to more new features coming out!

🗣️Presentation #4:Xin Zhang
Semantic Layer: What it is and how to adopt it with dbt

Description:The Data Semantic Layer is a technology used to create an abstraction layer between data sources and end users, helping users access data in a more intuitive and business-friendly way. This talk will introduce how to build a data semantic layer with dbt.

Speaker bio:Amazon Web Services Solutions Architect ,responsible for consulting and designing solutions based on the Amazon cloud platform, with extensive experience in R&D and architecture within software systems, data warehousing, and both real-time and batch processing. He is dedicated to exploring best practices that combine open-source data software and Amazon cloud-native service components to build highly available and innovative data architectures.

➡️ Join the dbt Slack community: https://www.getdbt.com/community/
🤝For the best Meetup experience, make sure to join the #local-china channel in dbt Slack (https://slack.getdbt.com/).
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dbt is the standard in data transformation, used by over 40,000 organizations worldwide. 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/