Microsoft Fabric Consultancy Services
All Your Data Analytics Needs in One Place
Unsure if you need Fabric or the differences between Fabric and Azure/Power BI solutions? Our data platform consultants will guide you in selecting and building the right platform for your BI needs, whether you use Fabric or not.


Microsoft Fabric Consulting Services
What Is Microsoft Fabric?
Would You Like To Have All Your Analytics Components In One Place?
Fabric Infrastructure Overview

Is Microsoft Fabric Right for Your Organisation?
- Unified Analytics Environment: Integrates data engineering, integration, and reporting tools into one platform.
- Improved Collaboration: Shared datasets and semantic models enable teams to work together more effectively.
- Scalability: Fabric capacities support larger models and high-performance analytics workloads.
- Accessibility: Browser-based development eliminates the need for desktop tools, making it easier for teams to adopt.
Comparing Microsoft Fabric to Other Platforms
Microsoft Fabric vs Power BI
- Dataflows and Datasets: Fabric offers automated data collection and transformation processes, along with shared semantic models for multiple reports.
- Larger Model Support: Fabric allows for larger models while maintaining accessibility for users with standard Pro licenses.
- Browser-Based Development: Unlike Power BI, all aspects of the analytics process in Fabric can be managed directly in the browser.
Microsoft Fabric vs Azure Data Platform
- Unified Data Lake: OneLake provides a common governance layer and makes data accessible across various tools without duplication.
- Data Lakehouse: Combines the scalability of a data lake with the performance of a data warehouse, enabling rapid access to data.
- Integrated Workflows: Power Query dataflows are now fully integrated within Data Factory pipelines, streamlining data transformation processes.
Migrating from Azure to Microsoft Fabric
- Reviewing Your Current Solution: Assess existing BI components, data sources, and reporting requirements.
- Skill Development: Equip your team with the necessary skills to work with Fabric’s new features.
- Budgeting and Planning: Understand the costs and timeline for migration to ensure a smooth transition.
Azure to Fabric Migration Overview

- Azure Blob Storage
- Azure Data Lake
- Data Factory
- Azure Synapse
- Azure SQL Database
- Azure SSAS
- Azure VMs
- Power BI Pro
- Power BI Premium PPU
- Power BI Premium Capacity
- Azure Databricks Azure Cosmos DB
- Power Automate
- Logic Apps

- Power BI Dataflows
- Power BI Shared Datasets
- Azure SSAS Tabular Models
- Power BI Reports
- Power BI Paginated Reports
- SSRS Reports
- Data Warehouse - relational star schema database
- Azure Blob Storage Containers
- Azure Data Lake Containers
- Machine Learning or AI Databricks
- Cosmos DB NoSQL Database
- Automated and triggered tasks

Medallion Architecture

How Do You Migrate From an Azure Solution to a Fabric Solution?
- There is some functionality that you will have enjoyed in the Azure Data Factory, Synapse and Power Premium world that are not yet available in the Fabric world, and this may require some interim handling on your migration journey with a view to switching to new methods as they become available.
- Your team may need to acquire some new skills in order to execute the migration work.
- Being new it may be a bit of a journey into the unknown with regards to how much a move to the Fabric platform will cost you.
- You may not yet need all the benefits that Fabric can bring to a data analytics solution
- A new platform will benefit from a complete review of your current solution and future aspirations to ensure that full advantage is taken of the Fabric features and services
Key Skills for Microsoft Fabric Implementation
- Data Integration and Orchestration: Developing pipelines and dataflows using Data Factory, PySpark, and SQL.
- Lakehouse Architecture: Designing medallion architectures (Bronze, Silver, Gold layers) and managing governance and security.
- Data Warehousing: Creating logical star schemas and optimising queries using Transact-SQL.
- Semantic Modelling: Building relationships, hierarchies, and measures using DAX.
- Data Visualisation: Developing dashboards, paginated reports, and actionable insights with Power BI.
- Data Governance & Security: Implementing Microsoft Purview, managing workspace permissions, enforcing data sensitivity labels, and tracking end-to-end lineage.

How PTR Can Support Your Microsoft Fabric Journey
- Strategic Planning: Aligning your data strategy with your organisation’s goals and future aspirations.
- Detailed Reviews: Evaluating your existing data estate, BI components, and governance frameworks.
- Customised Solutions: Designing and implementing a Microsoft Fabric solution that meets your specific needs.
- Skill Development: Providing training and mentoring to ensure your team can effectively use the platform.
Talk to Us About Microsoft Fabric
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