A Synapse to Fabric migration moves your schema, not your semantics. The type mappings, the objects the assistant skips, and where data quietly changes.
Fabric capacity planning: what to read before you scale
Fabric capacity planning starts with the metrics app, not the purchase order. What to read before scaling up, and why doubling the SKU is rarely the fix.
Fabric Git integration: what actually syncs, and where the gap shows up
Fabric Git integration versions your workspace, but not every item. What syncs, where the gap is flagged, and why nobody looks at the column that shows it.
Microsoft Fabric disaster recovery: what is and is not replicated
Microsoft Fabric has built-in disaster recovery, and that sentence has given a lot of architecture teams false comfort. The capability is real. What it protects is considerably narrower than most teams assume, and the gap between “DR is enabled” and “we can actually recover” is where the risk lives. This article sets out exactly what […]
Azure Data Factory at scale
Azure Data Factory (ADF) is Microsoft’s cloud-native ETL/ELT service, but scaling from 10 to 1,000+ pipelines requires architectural patterns that most…
Enterprise data lakehouse on Microsoft Fabric
Microsoft Fabric represents the most significant shift in enterprise data architecture since cloud data warehouses.
Enterprise Azure VMware solution
This framework represents a synthesis of 50+ enterprise Azure VMware Solution (AVS) deployments, distilling production lessons into prescriptive technical…
Databricks on Azure: enterprise lakehouse architecture
The modern data stack has converged on a single architectural truth: the lakehouse.