Join us for an insightful Ask Me Anything (AMA) session on Declarative Pipelines — a powerful approach to simplify and optimize data workflows. Learn how to define data transformations using high-level, SQL-like semantics, reducing boilerplate code while improving performance and maintainability. Whether you're building ETL processes, feature engineering pipelines, or analytical workflows, this session will cover best practices, real-world use cases and how Declarative Pipelines can streamline your data applications. Bring your questions and discover how to make your data processing more intuitive and efficient!

Lakeflow Declarative Pipelines has made it dramatically easier to build production-grade Spark pipelines, using a framework that abstracts away orchestration and complexity. It’s become a go-to solution for teams who want reliable, maintainable pipelines without reinventing the wheel.But we’re just getting started. In this session, we’ll take a step back and share a broader vision for the future of Spark Declarative Pipelines — one that opens the door to a new level of openness, standardization and community momentum.We’ll cover the core concepts behind Declarative Pipelines, where the architecture is headed, and what this shift means for both existing Lakeflow users and Spark engineers building procedural code. Don’t miss this session — we’ll be sharing something new that sets the direction for what comes next.