PLANNED
Metadata-driven ingestion with ADF
How to replace repetitive pipelines with a reusable configuration-driven ingestion pattern.
Insights
Practical thinking from real data engineering work.
Our technical publishing will focus on useful patterns, trade-offs and lessons across dbt, SQL, Azure Data Factory, Databricks and DataOps.
PLANNED
Designing maintainable dbt projects
Practical project structures, model layers, testing patterns and conventions for growing analytics teams.
PLANNED
Diagnosing Databricks performance
A pragmatic checklist for slow jobs, shuffles, joins, partitioning and execution plans.
PLANNED
Production DataOps essentials
The monitoring and quality controls that should exist before a pipeline is considered production-ready.
We will publish only material we can stand behind technically. UPOLE will not use confidential client or employer information in public content.