Lakehouse architecture design
Storage, compute, and processing layers designed on Azure Data Lake Storage with Databricks or Microsoft Fabric, sized to your data volume.
Solutions · Data & Analytics
Data Lakehouse Setup
Your data is scattered across systems and spreadsheets, reports disagree, and a full cloud transformation feels like too much just to get analytics. Symetriz stands up a lakehouse on Azure Data Lake Storage, Databricks, or Microsoft Fabric — scoped to analytics and governed from the first pipeline.
The problem
Data everywhere, answers nowhere
Data stuck in silos
Sales, finance, and operations data live in separate systems and exports, so nobody sees the whole picture.
How we fix it: Ingestion pipelines that bring your sources into one governed lakehouse.
Two reports, two answers
Each team calculates the same number its own way, and meetings become arguments about whose figure is right.
How we fix it: Shared, analytics-ready data models every report is built from.
A cloud programme just to get analytics
A data platform looks like it needs a full cloud migration first, so it never starts.
How we fix it: A lakehouse scoped to analytics, not tied to a wider migration.
The solution
One governed lakehouse, scoped to analytics
- Scoped to analytics — not a prerequisite for a broader cloud migration
- Built on Azure Data Lake Storage, Databricks, or Microsoft Fabric
- Governed and access-controlled from the first pipeline
Built for analytics, not a science project
A lakehouse designed around the questions you need answered, not a generic data dump.
Ingestion pipelines from your source systems
Pipelines built to pull from the databases, applications, and files you already have — no manual exports required.
Governance, cataloging & access controls
Data is cataloged and access-scoped from the start, so the lakehouse stays trustworthy as more teams use it.
From raw data to answers
The lakehouse is only useful once it feeds something people actually look at.
Analytics-ready data models
Raw data is transformed into modeled, query-ready datasets built for reporting and analysis.
BI & reporting-ready datasets
Outputs are structured to plug directly into Power BI or the reporting tool your team already uses.
Handoff or ongoing managed support
Hand the lakehouse to your team with full documentation, or keep Symetriz managing it going forward.
Ready when you are
Want analytics without a full cloud transformation?
Tell us about your data sources and we'll design a lakehouse scoped to the analytics you need.