Microsoft Fabric
Do you need a comprehensive and unified technical solution to drive your data strategy?
Plain Concepts offers you the perfect solution with Microsoft Fabric, a SaaS platform that revolutionizes data analytics and artificial intelligence. Microsoft Fabric centralizes all your data in one place, ready for advanced analytics, allowing both technical and business users to exploit the potential of information without technical complications.
Why Microsoft Fabric?
Microsoft Fabric is the perfect platform for managing your data efficiently and cost-effectively. Thanks to its deep integration with the Microsoft ecosystem, it provides all users a seamless and optimized experience. Key benefits include:
Ease of use for technical and non-technical users
A unified environment for loading and storage of data
Cost savings in configuration, maintenance, and administration
Seamless integration with Microsoft services (SQL, PowerBI, OpenAI, M365)
.
Compatibility with Data Lakes and solutions such as Databricks and Snowflake
-
Lakehouse ScenarioFor companies without a previous data platform, we implement an end-to-end use case by generating PowerBI reports from different sources.
The pilot will include:
- Ingest system to OneLake.
- Creation of a semantic model and data layer in Fabric.
- Development of reports in PowerBI.
- Integration with Microsoft Purview for data governance.
- Enabling a Data Marketplace for adoption of self-service BI strategies.
At the end of the pilot, a more concrete plan can be created to turn Microsoft Fabric into your corporate platform.
-
Lakehouse Scenario and Delta TablesIf you already use Databricks, we evaluate how Microsoft Fabric complements your current architecture.
The pilot will assess:
- Create a Microsoft Fabric environment that coexists with Databricks.
- Consume Databricks gold layer data from Fabric.
- Run PowerBI reports that consume the data through Delta tables.
- Evaluate performance using Fabric versus consuming from PowerBI directly to the gold layer.
- Advance the Data Sharing strategy by extending Databricks’ Delta Sharing capabilities with Microsoft Fabric’s GraphQL.
- Enable a Data Marketplace to adopt a self-service BI strategy and empower business teams.
- Integration with Microsoft Purview Data Governance to advance the Data Governance strategy.
-
Lakehouse Scenario - Migration from Synapse or other Lakehouse/DatawarehouseWe’ll migrate an existing use case based on PowerBI to Microsoft Fabric.
During the workshop phase, the use case will be defined by understanding its data sources and business logic.
The pilot will allow:
- Employ shortcuts in the ingest system to focus the pilot on business logic.
- Architecture medallion with notebooks in Spark.
- Develop a gold layer with simple business logic.
- Develop a semantic model with gold data in Fabric.
- PowerBI reports consuming the semantic model.
- Demonstrate SQL Endpoint for data analysts.
- Advance Data Sharing strategy by extending Delta Sharing capabilities of Databricks with GraphQL from Microsoft Fabric.
- Enable a Data Marketplace to adopt a self-service BI strategy and empower business teams.
- Integration with Microsoft Purview Data Governance to advance the Data Governance strategy.
- At the end of the pilot, it will be possible to create a plan to convert Microsoft Fabric into your corporate platform.
- Energy demand forecasting
- Resource distribution optimisation
- Predictive maintenance of infrastructures
- Environmental impact analysis
- Patient outcome prediction
- Hospital workflow optimization
- AI medical image analysis
- Accelerated pharmaceutical research
- Purchase behaviour analysis
- Real-time inventory optimization
- Personalization of customer offers
- Prediction of market trends
- Predictive maintenance of equipment
- Supply chain optimization
- Automated quality control
- Intelligent production planning
- Advanced fraud detection
- Credit risk analysis
- Investment portfolio optimization
- Automated compliance
- Network quality analysis
- User behavior prediction
- 5G infrastructure optimisation
- Service anomaly detection
