Videos
In this Databricks demo, Green Leaf Data Analytics Specialist, Pallari, walks through two practical approaches to building data pipelines in Databricks.
First, she demonstrates how to use job orchestration to run a layered data model across staging, data vault, and presentation. Then she shows how to use Delta Live Tables (DLT) to create a more declarative pipeline that simplifies orchestration, automation, and pipeline management.
The session also highlights how Databricks supports streaming tables, automatic dependency handling, and SCD Type 2 history tracking with minimal code. By the end, viewers will better understand when to use traditional job orchestration versus Delta Live Tables in Databricks.
This demo is ideal for data engineers, architects, and technical leaders exploring scalable ELT patterns, automated pipelines, and historical data tracking in Databricks.
Watch the full discussion demo below.