Session

SQL-First ETL: Building Easy, Efficient Data Pipelines With DLT

Overview

ExperienceIn Person
TypeBreakout
TrackData Engineering and Streaming
IndustryEnterprise Technology
TechnologiesDatabricks SQL, DLT, LakeFlow
Skill LevelIntermediate
Duration40 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

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Paul Lappas

/Sr Staff Product Manager
Databricks