So you’ve heard of Databricks, but after setting up a notebook and writing some code you’re still not sure what the fuss is all about.
Yes you’ve heard it’s Spark, but then there’s this Delta thing that’s both a data lake and a data warehouse (isn’t that what Iceberg is?). And then Unity Catalog, which does more than just catalog data, it does access management but even surprising things like optimise your data and programmatic access to lineage and billing?
But then serverless came out and now you don’t even have to learn Spark? And of course there’s a bunch of AI stuff to use or create yourself.
So why not spend a single day learning the details of what Databricks does, and how it could make you look like a rockstar Data Engineer.
Overview
This hands on course will give you the building blocks to become a skilled Data Engineer in Databricks, allowing you to build real time pipelines, optimised workloads from the getgo and scalable architectures.
The instructor is Holly Smith, who spent half a decade delivering formidable projects for Databricks’ own consulting team.
Outline
ETL with Spark SQL and Delta
Incremental Data Processing with Structured Streaming
Medallion Architecture
Task Orchestration with Databricks Workflows
Unity Catalog and System Tables
AMA with Databricks experts

Data Transformation and Integration
Data Engineering with Databricks
Description
Learning Objectives
You will leave with the Databricks notebooks used in the class, the slides used for theory sections, $400 of compute to try in your own Databricks Express account.
Things I will need
Tech Covered
Python, Spark, Databricks, Data Transformation and Integration, Grounded in Reality, Inspirational