All your data.
One Fabric.
Unify data engineering, real-time analytics and BI on Microsoft Fabric: AI-ready, lake-centric and governed end to end. FabricXcelerator spins up a secure, unified Fabric lakehouse in days, not months.
Insights, not infrastructure
Built on Microsoft's Cloud Adoption Framework and delivered through proven Bicep and Terraform templates, FabricXcelerator streamlines governance, networking, security, OneLake, Direct Lake and data pipelines, so your team starts on the data, not the plumbing.
Microsoft Fabric resets the playbook
Data has outgrown the warehouse
Petabyte streams, IoT feeds and AI workloads swamp relational stacks designed for predictable batch loads, driving up cost and slowing insight.
One platform, one copy
Compute and storage are fully decoupled. Engineering, streaming, data science and BI run on one governed, lake-centric platform, and OneLake keeps every byte in a single open format.
Pay for what you run
Land any data, scale elastically, pay only for the capacity you use and surface insights faster, all inside the Microsoft ecosystem you already trust.
Every workload on one foundation
Fabric puts every analytics workload on the same lake, the same security model and the same capacity. Nothing is copied between services to get from raw data to a report.
FabricXcelerator deploys and secures the whole stack
- Data FactoryIngest and orchestrate
- Data EngineeringLakehouse and Spark
- Data WarehouseT-SQL at lake scale
- Data ScienceNotebooks and ML
- Real-Time IntelligenceStreams and Eventhouse
- DatabasesOperational SQL
- Power BIReports and Direct Lake
- Copilot in FabricAI assistance in every workload
- OneLakeOne open copy of every table, in Delta format
- Microsoft PurviewClassification, labels and lineage across the estate
- Entra ID and SSO
- Private networking
- Key Vault secrets
- Capacity and cost controls
- Git and CI/CD
OneLake at the core
Structured, semi-structured and unstructured data land in OneLake's open, governed store, where Direct Lake mode lets Power BI query the files natively: zero copies, zero refresh lag.
One security and governance model
The same policies secure pipelines, streaming jobs, ML experiments and dashboards, giving end-to-end compliance without juggling separate permissions per service.
Scale like a lake, perform like a warehouse
By removing silos and bringing elastic compute to your data, Fabric delivers speed, simplicity and pay-as-you-go efficiency, and you manage none of the servers.
Plugged into the Azure you already run
Turn on Microsoft Fabric and it connects to ADLS Gen2, Purview, Power BI and Microsoft 365: one Entra ID login, one bill, one governance layer.
Raw files land in OneLake, flow through Data Factory and Spark pipelines and surface in Power BI, all on Azure's secure backbone. Purview labels and lineage follow every byte, so compliance stays tight while analysts build.
Scale globally, add capacity with a click, and let Microsoft handle patching, high availability and disaster recovery.
Secure by default, from the first deployment
Fabric is easy to turn on and easy to leave open. FabricXcelerator deploys it locked down, with the controls an enterprise security review will ask about already in place.
Identity and access
- Single sign-on. Microsoft Entra ID, MFA and conditional access across every Fabric workspace.
- Private networking. Private Link and private endpoints isolate the data path end to end.
- Restricted public access. IP restrictions, private DNS zones and firewall rules on every Fabric experience.
Data protection
- Exfiltration protection. Outbound access policies and Azure Firewall stop unauthorised egress.
- Secrets management. Credentials and tokens in Azure Key Vault, read directly by pipelines and notebooks.
- Governance with Purview. Classification, sensitivity labels and lineage from source to report.
Data and workloads
- OneLake storage. Built on ADLS Gen2: open Delta tables, one copy, governed access for every engine.
- SQL and Spark engines. Warehouse, lakehouse and notebooks on the same data, with no movement between them.
- Real-time intelligence. Stream from IoT Hub and Event Hubs into Eventhouse for high-throughput analytics.
From tenant settings to embedded Power BI
Deployment
Your Fabric environment designed and deployed across tenants or environments (DEV, TEST, PROD), fully secured and aligned with your governance model.
Data engineering
Dataflows, notebooks and pipelines that ingest, transform and model data in Fabric, ready for reporting, machine learning and AI.
DevOps
Git integration, workspace deployment strategy and automated promotion between environments with Azure DevOps or GitHub Actions.
Data integration and onboarding
A greenfield Fabric project taken from first setup through ingestion, modelling and workspace configuration to embedded Power BI.
Security and secrets
Private Link, Key Vault and Microsoft Purview built in, so the platform passes its security review the first time.
OneLake storage strategy
Layout, partitioning and Delta optimisation designed for analytical and real-time workloads, with performance and cost kept in check.
