MLOps: Building a CI/CD Pipeline for ML Models on Azure Databricks
9 min read4.7k
Most ML teams are great at training models. Very few are great at shipping them. The gap between a notebook that works and a model that reliably serves producti...
#DeltaLake
6 posts
Building Production-Grade Delta Lake Pipelines with Apache Spark on Databricks
9 min read4.7k
> A deep dive into the medallion architecture, Delta Lake internals, Z-ordering, and optimized Spark writes — the patterns that separate hobby projects from pro...
Azure Databricks vs Microsoft Fabric: An Honest Guide to When to Use What
7 min read3.3k
If you're building a data platform on Azure in 2026, you're going to be asked this question: Azure Databricks or Microsoft Fabric? Both run on Delta Lake, both ...
Azure Databricks + Azure Data Factory and ADLS Gen2: Building a Production Data Integration Pipeline
7 min read4.5k
Azure Databricks doesn't live in isolation. In most enterprise Azure environments it sits downstream of Azure Data Factory, which orchestrates ingestion from da...
Databricks Spark Structured Streaming: Building Real-Time Pipelines That Actually Work in Production
6 min read4.7k
Batch pipelines are predictable. They run, they finish, you check the results. Streaming pipelines are alive — they never stop, failures compound, and a small m...
Databricks Delta Live Tables: Declarative Pipeline Orchestration Made Simple
6 min read5.1k
If you've ever spent more time debugging broken Spark jobs than actually building pipelines, Databricks Delta Live Tables (DLT) is worth your attention. Instead...