Microsoft Fabric Development & Migration
PixoBots implements Microsoft Fabric - OneLake, lakehouses, warehouses, Data Factory pipelines and Power BI - as one governed analytics platform, built by dedicated data engineers who work with AI tools. AI speeds up the pipeline boilerplate, T-SQL rewrites and data-mapping documentation when Synapse, Power BI Premium or SQL Server workloads move into Fabric; a developer reviews every change, and the numbers are reconciled before anything is switched off.
Our Microsoft Fabric development capabilities
- Fabric readiness & capacity sizing
- OneLake design, shortcuts & mirroring
- Lakehouse & medallion architecture
- Fabric Data Warehouse (T-SQL)
- Data Factory pipelines & Dataflows Gen2
- Power BI semantic models & Direct Lake
- Azure Synapse to Fabric migration
- Workspace security & governance
What we deliver
Assess the estate
We catalogue pipelines, Spark notebooks, SQL pools, semantic models and reports, then map each to its Fabric equivalent and size the capacity it needs.
Design OneLake
Workspaces, domains and a bronze-silver-gold lakehouse layout, with shortcuts to data that should stay where it is rather than being copied.
Migrate in stages
AI tools draft the pipeline ports and reconciliation tests, developers review them, and each workload runs in parallel with the old platform and is reconciled row by row before cut-over.
Enable the business
Governed semantic models, Power BI reports on Direct Lake and clear ownership, so self-service does not turn into fifty versions of revenue.
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What Microsoft Fabric changes
Fabric brings data integration, data engineering, warehousing, real-time analytics and Power BI into one SaaS product billed through a shared capacity. Everything stores its tables in OneLake in the open Delta Parquet format, so a lakehouse built by engineers in Spark can be queried by analysts in T-SQL and read by Power BI without another copy being made.
That single storage layer is the real benefit. Most analytics estates spend effort moving the same data between a lake, a warehouse and BI extracts; in Fabric, shortcuts and mirroring let you reference data in Azure Data Lake Storage, Amazon S3 or supported operational databases instead of building another pipeline to copy it.
Migrating from Synapse, Power BI Premium and legacy warehouses
Azure Synapse Analytics remains a supported service, but Microsoft's new analytics investment is going into Fabric. Synapse pipelines map closely to Fabric Data Factory, Spark notebooks usually port with modest change, and dedicated SQL pool schemas move to the Fabric warehouse after a review of unsupported T-SQL features.
For Power BI customers the move is often driven by licensing: Microsoft is retiring Power BI Premium per-capacity SKUs in favour of Fabric capacities, so many organisations are on Fabric already without using more than reports. Older SQL Server or on-premises warehouses follow the same staged pattern - land raw data in a lakehouse, rebuild transformations, reconcile, then retire.
Fabric or Databricks?
Both are lakehouses on Delta tables. Fabric suits organisations standardised on Microsoft 365, Entra ID and Power BI that want a managed SaaS experience; Databricks suits engineering-heavy teams, multi-cloud estates and advanced ML. We help you choose based on your skills and workloads, and the two can share data through OneLake shortcuts.
Pixel-perfect software, delivered at AI speed
PixoBots stands for Pixel & Bots. Our Bots are dedicated developers who work with AI tools: AI takes the repetitive work, a developer reviews every line, and the result is pixel-perfect.
Pixel
Polished UI and clean, tested code - detail is part of the job, not an afterthought.
Bots
Dedicated developers who join your team and use AI for boilerplate, tests and documentation.
Savings
AI-assisted delivery can save more than 50% of development cost compared with traditional development.
Plan your Fabric rollout
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