https://store-images.s-microsoft.com/image/apps.40624.085534e7-41cd-4ff2-96cd-6da92c514244.a13ca3f0-f5be-4453-8bb7-2eb704876a5c.ebfd7971-237c-43f7-aafb-8cb1b4f990eb
Power BI to Fabric Modernization
Cognizant
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Our Power BI to Fabric Modernization service is designed to help organizations future-proof their data analytics infrastructure by migrating from Power BI Datamarts and Dataflows to Microsoft Fabric. This service ensures compatibility with future Microsoft updates, enhanced performance, and cost-effectiveness, leveraging new AI features like Copilot and Open AI.
Our modernization service integrates seamlessly with Microsoft Fabric, Azure Databricks, Fabric Data Factory, and Power BI to offer a comprehensive solution. This allows for improved reliability, performance, and cost-effectiveness, utilizing advanced data engineering capabilities through Spark Notebooks and other industrial-strength features.
Customer Value Proposition:
The actual pricing and duration for this engagement will be customized based on scope and requirements determined during initial consultation.
Our modernization service integrates seamlessly with Microsoft Fabric, Azure Databricks, Fabric Data Factory, and Power BI to offer a comprehensive solution. This allows for improved reliability, performance, and cost-effectiveness, utilizing advanced data engineering capabilities through Spark Notebooks and other industrial-strength features.
Customer Value Proposition:
- Future-Proofing: Stay ahead of Microsoft updates by migrating now, ensuring long-term viability.
- Enhanced Capabilities: Benefit from improved performance, reliability, and cost-effectiveness with Microsoft Fabric's new features.
- Industrial Strength: Leverage robust data engineering capabilities and improved scalability with Spark Notebooks.
- Customer Satisfaction: Achieve better user satisfaction and retention through enhanced performance and reliability.
- Microsoft Fabric
- Azure Databricks
- Fabric Data Factory
- Power BI
- Scope of current Datamarts and Dataflows
- Complexity of the data architecture
- Volume of data to be migrated
- Required customizations and integrations
- Size and complexity of the existing data infrastructure
- Specific business requirements and customizations
- Availability of customer resources for collaboration
- Assessment Phase: Evaluate current Datamarts and Dataflows to understand the scope of migration
- Planning Phase: Develop a detailed migration plan, including timelines, resource allocation, and risk assessment
- Preparation Phase: Set up the Microsoft Fabric environment and prepare data for migration
- Migration Phase: Execute the migration using automated tools and manual adjustments as needed
- Validation Phase: Thoroughly test the migrated dataflows to ensure they meet performance and reliability standards
- Optimization Phase: Fine-tune the new setup for cost-effectiveness and enhanced performance
- Training and Support: Provide training for end-users and ensure robust support mechanisms are in place
- Migrating from Synapse DWH to Fabric
- Addressing lack of coordinated company-wide adoption
- Improving data quality, reach, and performance
- Reducing costs and improving RO
- Day 1: Introduction and Assessment - Evaluate current data infrastructure
- Day 2: Planning and Preparation - Develop migration plan and set up environment
- Day 3: Migration Execution - Perform data migration
- Day 4: Validation and Optimization - Test and fine-tune migrated dataflows.
The actual pricing and duration for this engagement will be customized based on scope and requirements determined during initial consultation.
At a glance
https://store-images.s-microsoft.com/image/apps.15104.085534e7-41cd-4ff2-96cd-6da92c514244.a13ca3f0-f5be-4453-8bb7-2eb704876a5c.1f4b118d-cf34-44c7-8478-b957e9d76390