Session
Introducing Lakeflow: The Future of Data Engineering on Databricks

Overview
Wednesday
June 11
12:40 pm
Experience | In Person, Virtual |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology |
Technologies | Databricks Workflows, DLT, LakeFlow |
Skill Level | Beginner |
Duration | 40 min |
Join us to explore Lakeflow, Databricks' end-to-end solution for simplifying and unifying the most complex data engineering workflows. This session builds on keynote announcements, offering an accessible introduction for newcomers while emphasizing the transformative value Lakeflow delivers.We’ll cover:
- What is Lakeflow? – A cohesive overview of its components: Lakeflow Connect, Lakeflow Declarative Pipelines, and Lakeflow Jobs.
- Core Capabilities in Action – Live demos showcasing no-code data ingestion, code-optional declarative pipelines, and unified, end-to-end orchestration.
- Vision for the Future – Unveil the roadmap, introducing no-code and open-source initiatives.
Discover how Lakeflow equips data teams with a seamless experience for ingestion, transformation, and orchestration, reducing complexity and driving productivity. By unifying these capabilities, Lakeflow lays the groundwork for scalable, reliable, efficient data pipelines in a governed and high-performing environment.
Session Speakers
Bilal Aslam
/Sr. Director of Product Management
Databricks
Michael Armbrust
/Distinguished Engineer
Databricks