Microsoft Fabric & Lakehouse Migration Services
Unify your data estate. Migrate legacy Power BI Premium, Azure Synapse, and SQL Server data stores to a high-performance Microsoft Fabric OneLake architecture.
Core Service Capabilities
Designed and delivered by experienced Australian Microsoft solution architects.
OneLake Unified Data Lake
Consolidate data silos into an open Delta Parquet SaaS data lakehouse operating on unified OneLake storage.
OneLake • Delta ParquetDirectLake Performance
Query multi-billion row datasets instantly in Power BI without needing memory-heavy Import refreshes or data movement.
DirectLake • Power BISynapse & Data Factory Migration
Seamlessly transfer legacy data pipelines, notebooks, and ETL jobs into Fabric Data Factory and Data Engineering workloads.
ETL • Data FactoryOneLake Architecture, Open Delta Parquet & Shortcuts
Enterprise data estates frequently suffer from costly fragmentation: siloed data lakes in Azure ADLS Gen2, disparate SQL data warehouses, and disconnected departmental databases. Microsoft Fabric unifies your entire data footprint into OneLake—the unified SaaS data lakehouse for the enterprise.
Open Delta Parquet Foundation
Every analytical workload in Microsoft Fabric—whether Spark notebooks, T-SQL data warehouses, or Power BI semantic models—stores data in the open Linux Foundation Delta Parquet format. By standardizing on a single open storage format, organizations eliminate costly data conversion pipelines and proprietary vendor lock-in.
- ACID Transactions: Full consistency and time-travel querying across streaming and batch data.
- V-Order Optimization: Microsoft's proprietary write-time sort algorithm delivering blazing-fast in-memory reads.
- Multi-Engine Access: Querying the exact same physical files simultaneously via Spark and T-SQL.
OneLake Shortcuts (Zero-Copy Virtualization)
Moving multi-terabyte datasets across clouds is slow and triggers punitive egress fees. Fabric Shortcuts allow you to virtualize external data stored in Azure Data Lake Storage Gen2, Amazon S3, and Google Cloud Storage directly into OneLake without moving or duplicating a single byte.
- Zero Data Duplication: Immediate access to cross-cloud data without ETL latency.
- Unified Governance: Enforcing Microsoft Purview sensitivity labels across external shortcuts.
- Eliminate Egress Penalties: Querying operational storage in-place for unified enterprise analytics.
Lakehouse vs Warehouse & Direct Lake Breakthrough
Selecting between a Fabric Lakehouse and a Fabric Warehouse dictates developer productivity, data modeling patterns, and Power BI performance. We architect hybrid topologies matching your engineering skillsets and reporting scale.
Fabric Lakehouses
Ideal for data engineers using Apache Spark, Python, and PySpark for complex transformations, semi-structured JSON ingestion, and machine learning model training alongside SQL analytics endpoints.
Fabric Warehouses
Engineered for traditional SQL developers and BI teams requiring rich T-SQL syntax, cross-database joins, primary/foreign key constraints, and granular row-level / column-level security policies.
Direct Lake Mode in Power BI
The ultimate performance breakthrough: Power BI loads Delta Parquet data directly from OneLake into the VertiPaq engine on demand. No scheduled data refreshes, no memory duplication, and zero DirectQuery latency.
Transitioning from Synapse, SQL Server & Power BI Premium
Migrating from legacy data estates requires careful capacity mapping and cutover execution. We modernize your legacy pipelines into Microsoft Fabric with zero business disruption.
Azure Synapse & Data Factory Migration
We refactor Azure Synapse dedicated SQL pools and ADF copy activities into native Fabric Data Pipelines and Dataflow Gen2. Synapse Spark notebooks migrate with minimal code modification, capitalizing on Fabric's instant-on runtime pools that eliminate 3-5 minute Spark cold starts.
Eliminates dedicated pool standby compute fees.
Power BI Premium (P-SKU) to Fabric (F-SKU)
With Microsoft sunsetting standalone Power BI Premium capacity (P-SKUs), organizations must migrate to Fabric capacity (F-SKUs). We audit workspace memory consumption, configure Capacity Metrics App governance, and implement bursting and smoothing rules to right-size licensing costs.
Seamless workspace re-pointing with zero report re-authoring.
Four-Stage Fabric Modernization Framework
Our senior Australian data architects execute Fabric migrations through a phased engineering methodology designed to guarantee data parity and operational continuity:
Data Estate Discovery & Capacity Sizing
Audit current data volume, query workloads, and Power BI report concurrency to determine optimal Fabric F-SKU capacity sizing (F2 to F2048).
OneLake Topology & Lakehouse Architecture
Design medallion architecture (Bronze raw ingestion, Silver cleansed tables, Gold dimensional models), shortcuts, and workspace security roles.
Pipeline Migration & Direct Lake Validation
Migrate ETL workflows to Fabric Data Pipelines and Dataflow Gen2. Build Direct Lake semantic models and benchmark against legacy refresh times.
Reconciliation, Governance & Handover
Execute automated row-count and aggregate data reconciliation, configure Microsoft Purview governance, and deliver administrator runbooks.
Technical Prerequisites & Licensing
Before initiating a Microsoft Fabric migration, review subscription and tenant prerequisites:
Acceptance Deliverables Checklist
- OneLake Medallion architecture blueprint (Bronze/Silver/Gold)
- Refactored Fabric Data Pipelines and Dataflow Gen2 solutions
- Direct Lake semantic model performance benchmarking report
- Fabric Capacity Metrics App monitoring and alerting runbook
Related Data & AI Analytics Practices
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