Data Engineering · Databricks & Lakehouse
Databricks in 2 Hours How Companies Actually Use It
The full platform tour — lakehouse, clusters, Delta, jobs, Unity Catalog — framed around the way real data teams run it in production.
Not a feature tour. Two hours on the way real data teams run Databricks in production: why the lakehouse won, a full workspace tour of clusters, notebooks, DBFS and the SQL warehouse, then Delta Lake where it matters — ACID, time travel, MERGE and schema evolution. From there a production pipeline through the medallion layers with jobs, workflows and alerts, a retail case study, and the parts nobody teaches: governance with Unity Catalog and what a cluster actually costs. Ends on the certification path and the interview questions that follow.
Agenda
What we'll cover
- 0:00 — Why the Lakehouse won: warehouse vs lake vs lakehouse, in plain terms
- 0:20 — Workspace tour: clusters, notebooks, DBFS, SQL warehouse
- 0:40 — Delta Lake in practice: ACID, time travel, MERGE, schema evolution
- 1:05 — A production pipeline: medallion layers, jobs & workflows, alerts
- 1:25 — How companies run it: retail case study, governance, cluster cost
- 1:45 — Roadmap & live Q&A: certification path, interview questions
Perfect for
Who it's for
Every attendee
What you get
- Live, hands-on session on Zoom
- Live Q&A with the instructor
- Session notes & key resources — emailed after
- Optional: that session's recording + resources — add for ₹99

Your host
Pragya Rathi
Co-Founder, PrepNPlaced · Data Engineer @ 7-Eleven · SQL, PySpark, Power BI & Excel Instructor
Reserve your free seat
One quick step: sign in with Google, then reserve your free seat — your Zoom link lands in your email instantly.
Free forever · Saturday 5 September · 1:00 PM IST
Free live seat
Saturday · 1:00 PM IST