Microsoft Fabric

Fabric Accelerator: Deployments Now Fully Automated with Fabric CLI

Option 2 - Git- based deployments using Build environments

Fabric Accelerator setup is now fully automated, delivering faster and simpler deployments. Previously, the process required 15 semi-automated steps and about 2 hours. With this release, it’s streamlined to just a few one-time configurations, followed by a job that completes deployment in 15–20 minutes.

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Fabric Accelerator: ELT Framework Now Powered by Fabric SQL

The Fabric Accelerator is a suite of reusable code components integrated with an orchestration framework designed for Microsoft Fabric, supporting both batch and real-time workloads. It enables automated build, deployment and execution of data platforms on Microsoft Fabric in a consistent and repeatable way. At its core is a metadata-driven ELT (Extract, Load, Transform) framework that orchestrates data workflows. With this release, the metadata layer has transitioned from Azure SQL to Fabric SQL, aligning with the broader evolution of Microsoft Fabric.

The transition to Fabric SQL provides these key benefits:

  • One less external resource to manage while being fully native to the Fabric ecosystem.
  • Simplified build experience for data engineers through VS Code and GitHub integration.
  • Autonomous database capabilities through auto-scaling, auto-optimizing and auto-managed HADR.
  • Sets the stage for AI driven features through RAG and Vector support.

In addition to Fabric SQL update, a few minor updates also went live in this release. These updates were mainly intended to minimize deployment friction and streamline the overall experience

  • Purview DG module removed from Infrastructure-as-Code (IaC) deployment. Data Governance is integral part of data strategy. However, based on feedback to simplify deployment and keep the independence of data governance, it was decided to remove Purview DG bicep module from IaC deployment.
  • Event log ADLS Gen2 storage has been removed from the IaC deployment. With the introduction of real-time observability and the option to persist event logs in OneLake, the separate storage for event logs was no longer necessary.
  • To reduce dependency on Key Vault during IaC pipeline execution, the Fabric capacity administrator email is now stored as a GitHub repository secret instead of Key Vault secret.

If you are a data engineer and haven’t tried the Fabric Accelerator yet, now’s the time. With Fabric SQL powering the ELT framework, it’s faster, simpler, and ready for AI-driven innovation.

Observability in Fabric Accelerator

Introducing observability, the first Real-time Intelligence (RTI) workload in Fabric Accelerator. The Fabric Accelerator leverages Fabric events to monitor and alert significant events in real-time, enhancing the observability of your data platform. This observability encompasses all activities within OneLake and all Fabric workspaces, as well as the execution of data pipelines and Spark notebooks.

The following monitoring and alerts are available now

  • Frequently used Fabric workspaces, item types, items, users, and user actions.
  • Frequently run data pipelines and Spark notebooks, including elapsed duration, execution status, trigger types, job types, and schedules.
  • Frequently used OneLake actions by users.
  • Alerts for job execution anomalies.
  • Alerts for jobs showing regression trends compared to the last 60 days.
  • Alerts for OneLake usage anomalies.
  • Alerts for new users, among others.
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Introducing the Fabric Accelerator!

The Fabric Accelerator is a collection of reusable code artifacts integrated with an orchestration framework for Microsoft Fabric. This accelerator helps you to build, deploy and run data platforms using Microsoft Fabric in a consistent and repeatable manner. It leverages the popular ELT (Extract, Load, Transform) framework for meta-data based orchestration. The ELT Framework is widely used with Azure Synapse and Azure Databricks. It has now been extended to support Microsoft Fabric.

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