Member-only story
Databricks Just Changed the Game with LakeFlow — But Is It Too Smart for Its Own Good?
It’s not often that a new tool makes me stop mid-scroll and say, “Wait… this changes everything.”
But that’s exactly what happened when I saw the demo for Databricks LakeFlow.
Read for free here
I am offering a free Databricks webinar register here
As a data engineer who’s spent years wrangling orchestration tools, managing pipeline chaos, debugging failures at 2am, and duct-taping data quality checks, I’ve always wished for a more seamless, intelligent, and resilient workflow engine.
LakeFlow claims to be just that. So I dove in.
🚀 The Promise of LakeFlow: What Got Me Hooked
LakeFlow isn’t just another tool tacked onto Databricks. It’s a reimagination of how pipelines should be built and operated — deeply embedded into the Data Intelligence Platform, and powered by AI at every layer.
Here’s what stood out to me:
1. LakeFlow Jobs = Orchestration That Actually Feels Smart
You can orchestrate anything — ingestion, notebooks, machine learning training, SQL queries, even model deployment — all from a…