With Fabric, as a data provider, you can centralize all your data and grant users access only to the information they need, instead of providing open access to each department. In the traditional data warehouse model, you might create a single dataset for the entire company. When the sales team needs something different, you make adjustments and generate a new dataset. Marketing may require additional modifications, leading to yet another dataset. Over time, the sole source of truth becomes a matter of conflicting interpretations.

Many organizations have long depended on on-premise databases built on relational systems to manage their data. These setups have been crucial for structured data handling and analysis, offering stability and reliability. However, as data demands increase both in volume and complexity, more scalable, efficient, and cost-effective solutions are needed.