Modernise data platforms
Move from ageing, fragmented data estates to a scalable, secure cloud platform.
How Ribuix can help
Ribuix helps organisations modernise how their data is stored, processed and secured. We plan and configure scalable platforms, most often on Microsoft Fabric, and design the workspace, storage, capacity and security model before large workloads are moved. Migrations are staged so existing reporting and operations keep running while the new foundation is introduced.
Legacy warehouses, on-premises servers and one-off cloud builds grow into costly, hard-to-govern estates. Workspaces multiply, capacity is guessed, security is added late, and moving to something better feels too risky to start.
We design the target platform deliberately: storage layers, workspace hierarchy, capacity and access model are planned against your workloads and growth. Migration is sequenced in waves, with the lowest-risk, highest-value workloads first.
Capabilities
Platform assessment and modernisation roadmap
Inventory of current systems, workloads and dependencies, with a phased path from legacy to target state.
Microsoft Fabric environment configuration
Tenant and capacity settings, domains and workspace defaults configured to suit how your teams actually work.
Lakehouse and warehouse architecture
Medallion-style layers, OneLake storage and data flows designed for reliability and future growth.
Capacity planning and cost optimisation
Sizing and monitoring so you pay for what you need and avoid performance bottlenecks.
Security and access management
Role-based access, workspace roles, item permissions and network controls aligned to your security policy.
Migration planning and cut-over
Staged migration of data, pipelines and reports, with validation and rollback plans at each wave.
Where this fits in our wider work
System modernisation
Supports the move from legacy enterprise infrastructure to scalable cloud environments, planned so day-to-day operations are not interrupted.
An end-to-end foundation
Establishes the workspace hierarchy, storage layers and security framework that must exist before large-scale analytics and AI are deployed.
From first conversation to handover
Discover
Understand business goals, data sources, workloads, teams and existing technology.
Design
Define the target architecture, workspace model, capacity approach and security design.
Build and migrate
Configure the platform and move workloads in planned waves with validation.
Hand over
Document the platform and guide your team so they can operate and extend it confidently.
Typical deliverables
- Modernisation roadmap and wave plan
- Target platform architecture
- Workspace and domain structure
- Capacity plan and sizing guidance
- Security and access model
- Platform documentation and handover
Technologies we work with
What you can achieve
A scalable, secure and well-structured platform
Lower run cost and fewer performance surprises
A staged migration with limited business disruption
A stronger base for analytics and AI
Do we need an existing Fabric environment?
No. We can plan and establish a new environment, or review and restructure one that has grown without a clear design.
Can we modernise without disrupting current operations?
Yes. Changes are staged and sequenced so existing reporting and processes keep running while the new foundation is introduced.
How do you decide on capacity size?
We start from your workloads, user numbers and growth plans, then validate with monitoring so capacity can be adjusted as real usage emerges.
Ready to discuss this with our team?
Tell us about your environment and goals – we will suggest a practical next step.