Power business decisions with cloud-scale analytics
Accelerate your data potential with Microsoft Fabric
From data integration and engineering to business intelligence and real time analytics, Microsoft Fabric enables data professionals to host all their analytics workloads in a SaaS-based, lake-first solution––eliminating organizational siloes.
Unlock the business value you expect and achieve more with less by unifying your hybrid and multi-cloud data estates for faster, connected intelligence.
Where To Begin?
Here’s our approach to a successful implementation of Microsoft Fabric.
Assessment & Planning
Oakwood’s Data Team will begin by conducting a thorough assessment of your existing data infrastructure, data sources, and business requirements. We’ll work closely with your organization’s stakeholders to understand your goals and objectives.
Design & Architecture
Once the strategy is in place, Oakwood will then design the architecture for Microsoft Fabric that aligns with the your organization’s needs. This includes defining data pipelines, data transformation processes, data storage solutions, and data integration points.
Implementation & Development
Oakwood will then work to setup and configure Microsoft Fabric. This involves creating data pipelines, defining data flows, and integrating with various data sources and destinations. We can also develop custom data transformation scripts or activities using technologies like Azure Data Factory Data Flow, Azure Functions, or Azure Logic Apps to meet your specific business requirements.
Monitoring & Optimization
Post-implementation, Oakwood can provide ongoing support and monitoring services – if needed. This includes setting up monitoring and alerting mechanisms to detect and address any issues in real-time. This allows us to continuously optimize data pipelines and processes to ensure efficient data movement and processing.
Interested in learning more about what Microsoft Fabric can do for you and your organization’s data? Contact the data experts at Oakwood today.