Together with the customer, we discuss the company's goals and problems and set priorities. Concrete use cases emerge during brainstorming. We check these for costs, benefits and feasibility. Important goals are the improvement of analytics processes, easy access to information and the use of AI.

The Medallion architecture of Microsoft Fabric offers efficient and scalable data processing with three layers: Bronze, Silver and Gold.
The Bronze Layer collects and stores raw data unchanged.
The Silver Layer cleanses, transforms and enriches this data. Thanks to Data Vault 2.0, data changes can be tracked and easily restored.
The Gold Layer optimizes the processed data for analysis and reporting, making queries fast and efficient.

Data Vault 2.0 in the Silver Layer offers many advantages. It adapts easily to new requirements and data sources. It stores data and changes clearly and comprehensibly. Many data processing steps are automated. This makes work faster and more reliable. These features make Data Vault 2.0 a powerful solution for data processing.

Microsoft Fabric offers many tools for data analysis. These include OneLake, a central data store, and traditional data warehouse functions. Another tool is Lakehouse, which combines Data Lake and Data Warehouse. Interactive workspaces, also known as notebooks, use Apache (Py)Spark for data processing. Power BI displays data in reports and dashboards.

The above-mentioned technologies and approaches are constantly improving the Data Analytics Platform. This enables the company to react quickly to new data requirements. Microsoft Fabric increases the efficiency of data analysis. Decisions are based on current and accurate data. As Fabric is accessible from any location, it promotes collaboration between users and enables more efficient access to data. The new platform can be expanded without additional infrastructure and adapts quickly to growing data requirements.