Session
Declarative Pipelines: What’s Next for DLT and the Ecosystem
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology |
Technologies | Apache Spark, DLT |
Skill Level | Beginner |
DLT has made it dramatically easier to build production-grade Spark pipelines, using a declarative 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 how DLT fits into a broader vision for the future of Spark 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 DLT 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
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