Microsoft Fabric consulting services
Connected data, analytics & AI with Microsoft Fabric implementation
Reimagine how your organisation uses data
Disconnected data tools, slow reporting cycles, and fragmented analytics are costing Australian businesses decisions that is slowing everything down. Beyond Key Australia’s Microsoft Fabric consulting services solve this by bringing data engineering, data science, real-time analytics, and business intelligence into one unified platform.
We help organisations design, implement, and scale Microsoft Fabric as a modern data platform that simplifies data management, accelerate insights, and enable AI-powered decision-making.
Microsoft Fabric as an Enterprise Transformation Platform
Microsoft Fabric brings Azure Data Factory, Synapse Analytics, Power BI, and real-time intelligence into one SaaS environment. The underlying storage layer is OneLake which makes sure that every team works from the same data, without – copies, reconciliation, and pipeline complexity that usually sits between raw data and a business decision.
Get long-term innovation, scalability and enterprise intelligence with:
- Single data foundation across all workloads
- Real-time analytics without separate tooling
- Governed access for both technical and business teams
- AI and ML built on data that’s already structured and trusted
Beyond Key’s Microsoft Fabric services
Microsoft Fabric implementation
We design and build Fabric environments with OneLake architecture, workspace structure, data pipeline configuration, and security model for your data volumes and user patterns.
Data engineering & Lakehouse architecture
We build the medallion architecture that sits beneath all layers, so analytics and AI workloads get reliable data without manual intervention.
Real-time analytics & data integration
We build streaming pipelines and event-driven workflows on Fabric’s real-time intelligence capabilities for operational teams to act on data as it arrives.
Power BI & business intelligence
Power BI inside Fabric is different from independent Power BI. Semantic models connect directly to OneLake, refresh cycles work differently, and the governance model changes underneath. We handle migration and configuration so reporting teams keep working without losing dashboards or functionalities while the platform changes.
AI & Copilot enablement
We build the OneLake structure and semantic layers, so Copilot’s AI features give accurate results when teams start using it.
The Beyond Key approach to MS Fabric consulting
Discover
We review your existing data landscape, identify the gaps that matter, and surface the architecture decisions that need to be made before build begins.
Design
We make sure Fabric architecture, OneLake structure, workspace governance, and integration points are mapped and documented before a single pipeline is built.
Implement
In this stage, pipelines, semantic models, and reporting layers are built and tested against real data at production.
Optimise
Post-launch, we review compute usage, query performance, and governance gaps because Fabric environments. We also provide training for the teams who will own the platform, documentation that reflects how the system works, and support arrangements to manage independently.
Consolidate your Microsoft Fabric journey
If your current analytics environment is costing more and delivering much less that is usually
where the conversation starts.
FAQs
What is Microsoft Fabric?
Microsoft Fabric is Microsoft’s all-in-one data and analytics platform that combines data engineering, data integration, data warehousing, real-time analytics, and business intelligence into one SaaS platform. It is built on OneLake, which provides a single storage layer, shared across every workload.
How does Microsoft Fabric work?
Microsoft Fabric works by unifying multiple data workloads into one integrated platform. Data is ingested, stored in OneLake, and then processed using different workloads such as Data Engineering, Data Factory, Synapse Data Warehousing, and Power BI, whatever the system requires. The entire flow from raw ingestion to a finished report happens inside one environment rather than across a stack of connected tools that someone must maintain.
How much does Microsoft Fabric cost?
Microsoft Fabric pricing is based on a capacity model. An organisation pays for computing capacity (called Fabric SKUs), not individual tools or users. The estimated costs vary depending on workload size, usage patterns, and performance requirements.
How does Microsoft Fabric integrate with Power BI?
Power BI is natively embedded within Microsoft Fabric. Power BI connects directly to OneLake and shared semantic models inside Fabric, so reports aren’t refreshing from a separate dataset that might be a day behind. Microsoft Fabric improves data consistency and ensures that reports are always built on a single trusted data source.
Can Microsoft Fabric support AI and machine learning workloads?
Yes, Microsoft Fabric is designed to support AI and machine learning workloads. OneLake gives AI workloads clean, consistent data without needing a separate preparation layer. Fabric integrates with Azure Machine Learning and supports Microsoft Copilot experiences across the platform. If an organisation wants to move beyond reporting and into predictive models or generative AI, Fabric is the infrastructure that makes that viable.
What is OneLake in Microsoft Fabric?
OneLake is the storage layer that sits underneath everything in Fabric. It acts as a single, unified storage layer for all data across the organisation and removes the copies, reconciliation work, and the pipeline complexity that builds when different teams are managing their own data stores.
Start your digital transformation journey.
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