Microsoft
Fabric & Azure
Build your next-gen analytics platform using Microsoft Fabric and accompanying Azure technologies.
Microsoft
How We Can Help
Microsoft Fabric is the brand new (as of late 2024) analytics, AI and data processing platform offered by Microsoft. Fabric is replacing / merging Azure Synapse components so you should be aware of how this change will affect your organization. But make no mistake, Fabric is not simply a repackaging of old technology. It is new and it is powerful!
Do you need Fabric? The more your organization relies on analytics as a core competency, the more important Fabric becomes to your success. If your organization requires only a limited number of reports, Fabric may be overkill.
Fabric offers six (6) different workloads, serverless compute, and a secure storage layer. Even so, Fabric is just the toolset with which you’ll build your analytics solution. You need to have strong technical vision, architecture, and design to guide your team’s work. Otherwise, Fabric can become a tangle of code and processes just like any traditional data warehouse.
When To Call Us
Here are some common reasons clients call on us.
- Ready to modernize your analytics platform.
- Self-service is critical to your organization’s success.
- Need to convert an Azure Synapse solution to MS Fabric.
- Want to empower your organization to use data more effectively.
- Data governance initiatives need to gain traction.
- Securing data is a mandate.
Key Activities
Don’t see what you’re expecting? Let’s talk about how to tailor to your needs.
TECHNOLOGY
- Plan Fabric Workload strategy.
- Configure OneLake security.
- Design data and semantic models.
- Establish data standards and patterns.
- Inventory and profile source data.
- Specify data loading strategies.
PROCESS
- Facilitate agile design processes.
- Optimize business request process.
- Establish estimation process for requests.
- Implement testing and Q&A procedures.
- Define DevOps and deployment practices.
ORGANIZATION
- Ensure focus on delivering business value.
- Liaison with business to clarify data anomalies.
- Implement tactical data governance program.
- Identify and mitigate project risks.
- Support the project manager.
