Deliver Microsoft Fabric / Databricks / Snowflake capabilities
Hands-on delivery across the leading modern data platforms, on one platform or several.
How Ribuix can help
Ribuix delivers working data capabilities on Microsoft Fabric, Databricks and Snowflake: ingestion and orchestration, transformation, lakehouse and warehouse models, semantic layers and reporting. Where organisations run more than one platform, we design how they work together, using open formats, shared storage and a single governed view for consumption, so teams are not forced into a one-platform decision.
Data sits across applications, databases and several platforms. Teams rebuild the same extracts by hand, platform choices are made in isolation, and reporting is late or inconsistent. Running two platforms without a clear design doubles cost and governance effort.
We match each workload to the platform that suits it, and connect platforms through open table formats, shortcuts and mirroring rather than copies. Delivery is incremental: reliable pipelines first, then trusted models, then reporting people can use.
Capabilities
Data source connectivity and ingestion
Secure, monitored connections to databases, applications, files, APIs and third-party platforms, batch and near real-time.
Pipelines and orchestration
Fabric Data Factory, Databricks workflows and Snowflake tasks built with dependencies, retries and alerting handled properly.
Lakehouse and warehouse engineering
Transformation logic and Delta or Iceberg tables structured in bronze, silver and gold layers for analytics and AI.
Cross-platform interoperability
Databricks Unity Catalog and Snowflake data surfaced in Fabric through OneLake shortcuts, mirroring and Iceberg, without duplicating data needlessly.
Power BI semantic models and reporting
Governed semantic models and Direct Lake reports on top of lakehouse and warehouse layers, with enterprise reporting standards.
Platform selection and optimisation
Guidance on which workload belongs where, plus performance and cost tuning across platforms.
Where this fits in our wider work
Connecting fragmented silos
Resolves data fragmentation across disparate systems, including APIs, partners, on-premises databases and real-time streams.
Consistent metrics
Defines measures once in a shared semantic layer, supporting executive scorecards and self-service analytics for business teams.
Right tool for the workload
Fabric tends to suit Power BI-led, SQL-centred analytics; Databricks suits heavy engineering, Spark and machine learning; Snowflake suits SQL warehousing and data sharing. We help you combine them sensibly.
From first conversation to handover
Map
Catalogue sources, owners, volumes and refresh needs; decide which platform each workload belongs on.
Design
Define ingestion patterns, layers, interoperability and semantic model design.
Build and test
Implement pipelines, models and reports with validation checks against real data.
Operate
Set up monitoring and alerting, and tune performance and cost as volumes grow.
Typical deliverables
- Source-to-target mapping
- Ingestion and orchestration pipelines
- Lakehouse and warehouse models
- Cross-platform integration design
- Certified semantic models and dashboards
- Run-books and documentation
Technologies we work with
What you can achieve
Reliable, monitored data pipelines
One trusted view of the business across platforms
Faster, more consistent reporting
Lower duplication and clearer platform roles
Do we have to pick one of Fabric, Databricks or Snowflake?
No. Many organisations use more than one. We design the boundaries and connections so each platform does what it does best.
Can Snowflake or Databricks data be used in Fabric and Power BI?
Yes. Depending on the case, it can be read in place through OneLake shortcuts, exposed as Iceberg, or mirrored into OneLake. We recommend the pattern that fits your performance, cost and ownership needs.
Can you improve our existing Power BI reports?
Yes. We regularly review and rework models and reports for performance, clarity and consistency.
Ready to discuss this with our team?
Tell us about your environment and goals – we will suggest a practical next step.