Declarative Pipelines: What’s Next for the Apache Spark Ecosystem

Overview
Wednesday
June 11
4:10 pm
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology |
Technologies | Apache Spark, DLT |
Skill Level | Beginner |
Duration | 40 min |
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.
Session Speakers
Michael Armbrust
/Distinguished Engineer
Databricks
Sandy Ryza
/Software Engineer
Databricks