Data Modeling
We build consistent, high-performance and scalable data models through dimensional modeling, semantic layer design and storage optimization.
Explore — Data ModelingSolution
We unify your data warehouse, data lake, data integration and business intelligence on OneLake, on a single SaaS platform.
Problems
Instead of using separate platforms for ETL, data warehousing and BI, we consolidate all your analytics needs under a single license and architecture (Microsoft Fabric).
With OneLake, data no longer has to be moved between systems; every team reaches it from one central place, without copies.
We ensure that data engineers, data scientists and BI analysts work in harmony on the same data pool.
Unify Your Entire Data Ecosystem on a Single Platform with Microsoft Fabric
Bring your data warehouse, data lake, data integration and business intelligence processes together end to end on a single SaaS platform. With Microsoft Fabric, eliminate silos, reduce costs and shorten your time to value from data.
Reviewing your Azure Synapse, Power BI or on-premise systems.
Setting up the Medallion (Bronze, Silver, Gold) layer structure and authorization boundaries.
Moving priority data sources to OneLake and testing Direct Lake reports.
Adapting all analytics teams to the Fabric ecosystem and optimizing capacity management.
Collecting and organizing all of your company’s data in a single logical lake (OneLake) with the “OneDrive for Data” logic.
Building high-speed, drag-and-drop or code-based pipelines from scattered data sources to OneLake.
Design of high-performance data processing, lakehouse and data warehouse layers based on Apache Spark and T-SQL.
Visualizing data on OneLake directly with Power BI, without the need to import the data.
For Gratis we built a logistics data platform on Microsoft Fabric, running on Delta Lake with automatic scaling.
Let's hear your needs and define the right first step together. No commitment required.
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