Session
Lakeflow Designer: Removing the Technical Barrier to Self-Service Data Prep
Overview
| Experience | In Person |
|---|---|
| Track | Analytics & BI |
| Industry | Enterprise Technology |
| Technologies | Lakeflow |
| Skill Level | Beginner |
For most teams, the biggest bottleneck isn't the generation of insights it is the work thats required to get the data wrangled the right way. For too long, the ability to transform data and automate workflows has been locked behind complex code, leaving business analysts dependent on overstretched data engineering teams.Lakeflow Designer changes the equation with a no-code, visual canvas powered by Genie that lets anyone go from a natural language prompt to a production-ready workflow in minutes.This breakout will cover:- How Lakeflow Designer fits into the overall Databricks ecosystem and what differentiates it from other low-code tools- How to get started and leverage natural language through Genie to build a workflow with zero previous experience- How Designer’s visual workflows translate into production-grade code that is governed, scalable, and ready for enterprise use
Session Speakers
Jason Messer
/Product Manager
Databricks
Emanuel Zgraggen
/Staff Software Engineer
Databricks