fabric-lakehouse-perf-remediate

To fix slow Fabric Lakehouse queries, run systematic diagnostics to check Delta table health, V-Order status, and Spark resource profiles. You can then apply automated maintenance orchestration like OPTIMIZE and VACUUM via REST API or notebooks to remediate fragmentation and restore throughput.

The best way to automate Delta table VACUUM and OPTIMIZE in Fabric is by using REST API-based maintenance orchestration or template-driven notebooks. This applies V-Order or Z-Order optimizations and removes stale files with guardrails to ensure repeatable production safety.

Small-file proliferation in a Fabric Lakehouse occurs due to frequent streaming ingestion or unoptimized writes. You can remediate it by running automated OPTIMIZE maintenance workflows via REST API or templated notebooks to compact files and improve query performance.

Yes, this Fabric Lakehouse remediation requires the Az.Accounts dependency for authentication. You need it to connect your environment securely before executing REST API maintenance workflows or running the diagnostic notebooks for Spark and Delta table optimization.

Yes, you can use template-driven notebooks to diagnose Direct Lake and Power BI performance gaps in Fabric. The notebooks provide structured diagnostics for Delta table health and Spark configurations to identify root causes and apply guardrailed remediation.