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New Era
in Data Analytics
Microsoft Fabric is a next-generation solution that combines all data analytics workloads on a single SaaS platform. Instead of disparate tools, different licenses, and complex integrations — one platform, one lake, one security model.
- OneLake: A single data lake for all data
- 7 integrated workloads (Data Engineering → Power BI)
- Flexible pricing based on capacity (CU)
- Unified security with Microsoft Entra ID
- Copilot AI-powered data discovery and analysis
- Full integration with Azure, M365 and Power Platform
Fabric 7
Integrated Workload
Designed for every stage of the data lifecycle, with seamlessly integrated experiences across the platform.
Data Engineering
Transform and prepare large data sets with Lakehouse architecture powered by Apache Spark.
Data Factory
Create ETL/ELT pipelines with 150+ connectors. Orchestrate data migration and transformation processes.
Data Science
Create, train and deploy machine learning models in an MLflow-supported notebook environment.
Data Warehouse
T-SQL compatible, auto-scalable data warehouse. Cross-database queries and time travel support.
Real-Time Intelligence
Real-time analysis on billions of events with KQL. Ideal for IoT, log and telemetry data.
Power BI
Create interactive dashboards and reports directly on Fabric data. Instant access with Direct Lake mode.
Data Activator
Automatically detect data changes and trigger conditional actions — without writing code.
OneLake
architecture
A single data lake for all Fabric workloads. Eliminate separate silos,
Store your data once, access it from anywhere.
OneLake
A single ADLS Gen2-based data lake for all Fabric workloads
Fabric vs.
Traditional Approach
| Criterion | Conventional (Discrete Vehicles) | Microsoft Fabric |
|---|---|---|
| Data Storage | Separate storage and data copying for each vehicle | OneLake — single data lake, access with shortcuts |
| Licensing | Separate license and pricing for each product | Based on single capacity (CU), all workloads included |
| Security | Separate security configuration for each vehicle | Combined Entra ID, Purview, sensitivity tags |
| ETL / Data Pipeline | Different orchestration tools (SSIS, Airflow etc.) | Integrated Data Factory, 150+ connectors, Dataflows Gen2 |
| Data Warehouse | Dedicated SQL Pool, additional management | Serverless, T-SQL, auto scaling |
| Real Time Analysis | Azure Data Explorer → separate resource/license | Integrated Real-Time Intelligence, KQL, Eventstreams |
| Reporting | Power BI separate connection, import/DirectQuery | Direct Lake — reading from lakehouse without copying |
| AI & Copilot | Limited or external integration | Built-in Copilot, automatic code generation, data annotation |
| Governance | Separate lineage tracking for each vehicle | Central Purview integration, data family tree |
Fabric
SKUs
Scalable capacity units (CU) as per your need.
All workloads share a single capacity pool.
| SKU | Capacity Unit (CU) | Power BI | Max RAM (Spark) | Usage Scenario |
|---|---|---|---|---|
| F2 | 2 CU | - | 4GB | PoC, development environment |
| F4 | 4 CU | - | 8GB | Small teams, testing |
| F8 | 8 CU | EM1 equivalent | 16 GB | Department level |
| F16 | 16 CU | EM2 equivalent | 32GB | Medium-sized organizations |
| F32 | 32 CU | P1 equivalent | 64GB | Enterprise workloads |
| F64 | 64 CU | P2 equivalent | 128GB | big data analytics |
| F128 | 128 CU | P3 equivalent | 256GB | Large-scale institutions |
| F256+ | 256+ CU | P4+ equivalent | 512+ GB | Petabyte scale projects |
* Up to 40% discount is available with Azure Reservations on SKUs F64 and above.
Fabric
Consulting
As Microsoft CSP Partner, we provide end-to-end support for your Fabric projects. From architectural design to deployment, from training to cost optimization.
- Fabric Workspace & Capacity Planning
- OneLake Architectural Design & Shortcuts Strategy
- Data Pipeline & Lakehouse Setup
- Migrating from Existing Synapse/Databricks to Fabric
- Power BI Direct Lake Mode Optimization
- Real-Time Intelligence & KQL Setup
- Fabric Copilot Activation & Training
- SKU Optimization & Reservations Management
With Fabric
What Can Be Done?
Data Warehouse Modernization
Serverless, auto-scalable modern data warehouse with SSIS + SQL Server DW → Fabric Data Warehouse + Data Factory.
Real-Time IoT Analytics
Analyze millions of sensor data in seconds with Event Hubs → Eventstreams → KQL Database.
Unified Reporting
Create Power BI reports directly from lakehouse data without import/copy with the Direct Lake model on OneLake.
ML Model Development
Train MLflow, scikit-learn, PyTorch models with Data Science experience, and deploy to production with MLOps.
Multi-Cloud Data Integration
Access and analyze AWS S3, Google Cloud Storage, or ADLS data without copying with OneLake Shortcuts.
Automatic Action Triggering
Initiate automatic notifications and actions in cases such as low stock, anomaly detection or SLA violation with Data Activator.
Frequently asked
Questions
