13 articles tagged Microsoft Fabric.
Link to Fabric has two cost components: the Delta replica held in Dataverse database capacity, and the Fabric capacity that consumes it. This covers both, with measured replica-to-source size ratios from a D365 F&O sandbox, current per-GB and per-SKU rates, and the levers that reduce consumption.
The Delta Lake (Parquet) export option in Azure Synapse Link for Dataverse is deprecated: closed to new customers from October 2026 and removed in December 2027. This covers the exact scope of the deprecation, what remains supported, and how to choose between Synapse Link CSV output and Link to Microsoft Fabric.
In Microsoft Fabric, the role that lets a developer build also bypasses OneLake security. Here are 3 patterns to isolate developer data access by domain — and which one actually holds.
A Data Pipeline references a connection, not a string — and that connection has a different ID in every workspace. Here's how the Connection Reference variable type swaps it per environment.
Deterministic hash surrogate keys or IDENTITY columns for your dimensions? A practitioner's pros and cons across load order, idempotency, join cost, and reprocessing.
Variable Libraries plus fabric-cicd's environment parameter give you a versioned, typed way to swap Key Vault names, storage accounts, and other per-environment constants automatically.
Copy pipeline via Virtual Network Data Gateway failing with LakehouseOperationFailed / InternalServerError at the _delta_log commit step? The fix is a single Azure subnet configuration change.
Learn how to enable and leverage Change Data Feed (CDF) with Fabric Mirroring to build true incremental data pipelines and unlock near real-time data processing capabilities.
VACUUM keeps Delta tables healthy, but it can also break Change Data Feed replay windows. This walkthrough shows exactly when incremental pipelines fail and how to design a safe Fabric pattern with guardrails and fallback recovery.
Most lakehouse pipelines are still doing one expensive thing repeatedly: reprocessing entire tables, even when only a tiny fraction of rows has changed. This post explains the CDF-driven load pattern, why it works, where it can hurt, and how to implement it safely in Microsoft Fabric.
Introduction When building a modern lakehouse on Microsoft Fabric, one of the most powerful — and often underexplored — features is Mirrored Databases. Instead of...
Data quality isn't just a checkbox — it's the backbone of reliable analytics. Learn how to set up automated quality checks and profiling with Microsoft Purview and Fabric Lakehouse.
How to keep your Spark jobs portable, safe for concurrency, and easier to orchestrate by using explicit ABFSS paths instead of attaching a default Lakehouse in Microsoft Fabric.