Session

Authoring Data Pipelines With the New DLT Editor

Overview

ExperienceIn Person
TypeBreakout
TrackData Engineering and Streaming
IndustryEnterprise Technology
TechnologiesDLT, LakeFlow
Skill LevelIntermediate
Duration40 min

We’re introducing a new developer experience for DLT designed for data practitioners who prefer a code-first approach and expect robust developer tooling. The new multi-file editor brings an IDE-like environment to declarative pipeline development, making it easy to structure transformation logic, configure pipelines throughout the development lifecycle and iterate efficiently.

 

Features like contextual data previews and selective table updates enable step-by-step development. UI-driven tools, such as DAG previews and DAG-based actions, enhance productivity for experienced users and provide a bridge for those transitioning to declarative workflows.

 

In this session, we’ll showcase the new editor in action, highlighting how these enhancements simplify declarative coding and improve development for production-ready data pipelines. Whether you’re an experienced developer or new to declarative data engineering, join us to see how DLT can enhance your data practice.

Session Speakers

IMAGE COMING SOON

Adriana Ispas

/Sr. Staff Product Manager
Databricks

Camiel Steenstra

/Staff Software Engineer
Databricks