Hands-on Lab:

Agentic Data Engineering with MotherDuck

December 3, 2025 | 10am PT / 1pm ET
45 Minute Session

Want to see what's possible when you combine serverless analytics with AI automation?

In this 45 minute, hands-on lab, you'll combine two cutting-edge technologies—MotherDuck and Agentic Data Engineering to:

Create a prod-ready pipeline on MotherDuck
Orchestrate your data with advanced automation
Automate engineering workflows with AI agents
Deploy with DataOps best practices

Register to attend the session live or to recieve the recording.

Testimonial grid.

About this Hands-on Lab

December 3, 2025 | 10am PT / 1pm ET
45 Minute Session

Want to see what's possible when you combine serverless analytics with AI automation? Join us for a 45-minute hands-on lab where you'll combine two cutting-edge technologies (MotherDuck and AI agents) to build a complete data pipeline on MotherDuck, while leveraging AI agents that handle operational work for you.

You'll experience first-hand how high-performing data teams are using these technologies to deliver trusted data faster and more efficiently. Together we'll:

- build end-to-end data pipelines on MotherDuck
- deploy agents to automate pipeline operations and workflows
- implement best practices for deploying pipelines and agentic workflows in production

By the end, you'll have a working pipeline and hands-on experience with two of the most powerful tools in modern data engineering.

Testimonial grid.

In this exclusive session  we'll

Build a complete data pipeline on MotherDuck

Create production-ready pipelines on MotherDuck's serverless analytics platform, from ingestion to orchestration.

Automate workflows with AI agents

See how AI agents handle data operations to reduce manual work and accelerate delivery.

Deploy pipeline code and agents with DataOps best practices

Follow proven approaches for deploying and managing AI-powered data pipelines at scale.

Featured  Speakers

Cody focuses on building Ascend’s Gen3 data automation platform, ensuring a delightful experience for data engineers. With a background in computer engineering, data engineering, and ML/AI he has worked on data interfaces, automation, and developer tooling at Microsoft’s Azure AI Platform, dbt Labs, and Voltron Data.

Cody Peterson
Product Manager @ Ascend.io

As Chief of Staff at Ascend.io, Jenny partners with data leaders and engineering teams to bring AI and automation into their day-to-day work. With years of experience in connecting with data teams, Jenny focuses on making advanced technologies accessible and practical for teams of all sizes.

Jenny Hurn
Chief of Staff @ Ascend.io
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