Combine the flexibility of a data lake with the performance of a data warehouse. SolveBI architects and builds Microsoft Fabric Lakehouses that scale with your data and serve every team - from data engineers to business analysts.
Microsoft Fabric Lakehouse is a unified data management architecture that stores all your data in open Delta Lake format on OneLake - Microsoft's single, multi-cloud data lake. It combines the schema flexibility and cost-efficiency of a data lake with the performance and query capabilities of a data warehouse.
Data engineers can use Apache Spark notebooks and pipelines to ingest and transform raw data, while analysts and BI professionals access the same data through an auto-provisioned SQL analytics endpoint - no duplication, no ETL overhead, no data movement.
Every table in your Lakehouse is automatically available to Power BI via Direct Lake mode, delivering near-real-time reporting without the import refresh cycle that traditional datasets require.
From initial architecture through to production-ready pipelines, we deliver Lakehouses that your teams can rely on every day.
We design medallion architectures (Bronze, Silver, Gold) tailored to your ingestion patterns, transformation complexity, and reporting requirements - ensuring your Lakehouse scales with your business.
Our engineers build robust PySpark and Spark SQL notebooks for data transformation, cleansing, and enrichment - automated with Fabric pipelines and scheduled for reliable daily delivery.
Migrate from legacy data warehouses, Azure Data Lake, ADLS Gen2, or on-premises databases to Fabric Lakehouse with zero downtime and full data quality validation.
Configure and optimise the auto-generated SQL analytics endpoint so your BI tools and SQL users can query Delta tables without touching a single line of Spark.
Implement Microsoft Purview integration for data cataloguing, lineage tracking, and sensitivity labelling across all tables in your Lakehouse.
Tune Delta Lake table properties, file sizes, Z-ordering, and Spark configurations to maximise query performance for both interactive and scheduled workloads.
Replace fragmented ADLS Gen2 data lakes with a governed, structured Lakehouse that your entire organisation can query without Spark expertise.
Build a Gold-layer Lakehouse that feeds Power BI Direct Lake datasets, giving analysts fast, consistent access to a single source of truth.
Land high-frequency sensor, event, or clickstream data in Bronze and process it through Silver transformations using Spark streaming or batch.
Maintain immutable audit histories using Delta Lake's time-travel capability, with full lineage tracked through Microsoft Purview.
Talk to a SolveBI architect about migrating your existing data estate to Fabric Lakehouse or building a new one from scratch.