Session
SQL-First ETL: Building Easy, Efficient Data Pipelines With DLT
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology |
Technologies | Databricks SQL, DLT, LakeFlow |
Skill Level | Intermediate |
Duration | 40 min |
This session explores how SQL-based ETL can accelerate development, simplify maintenance and make data transformation more accessible to both engineers and analysts. We'll walk through how Databricks DLT and Databricks SQL warehouse support building production-grade pipelines using familiar SQL constructs.
Topics include:
- Using streaming tables for real-time ingestion and processing
- Leveraging materialized views to deliver fast, pre-computed datasets
- Integrating with tools like dbt to manage batch and streaming workflows at scale
By the end of the session, you’ll understand how SQL-first approaches can streamline ETL development and support both operational and analytical use cases.
Session Speakers
IMAGE COMING SOON
Paul Lappas
/Sr Staff Product Manager
Databricks