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Microsoft Fabric has quickly become the foundation for enterprises, effectively integrating Data Engineering, Data Warehousing, Data Science, and advanced Power BI analytics into one cohesive environment.  At the heart of this platform is Microsoft Fabric Capacity — the pool of computational resources (measured in CU, Capacity Units) that dictates the performance and stability of the […]

Big Data analytics in Microsoft Fabric is a solution that helps organizations turn vast amounts of information into actionable business decisions.  Traditional reporting systems often struggle to keep up with the scale and complexity of data coming from multiple sources — ERP, CRM, or e-commerce systems. Microsoft Fabric eliminates these limitations by combining tools for […]

Retailers have been investing in POS, e-commerce, CRM, and loyalty solutions for years. Still, without a consistent data layer, they find it difficult to understand their customers and manage sales effectively. Dispersed information sources, delayed reports, and manual data merging mean that business decisions are made too late, and the potential for personalization remains untapped. […]

Have you ever wondered how to combine the flexibility of Python with the analytical power of Microsoft Fabric? This duo is increasingly becoming the foundation of modern Business Intelligence projects.  Microsoft Fabric is a comprehensive analytics platform that unifies data from multiple sources — from ERP systems and Excel spreadsheets to cloud-based datasets. Thanks to […]

Digital transformation has made data one of the most valuable resources for organizations today. Companies that can effectively collect, analyze, and transform data into business knowledge gain a real competitive advantage. However, traditional approaches to data management—such as Data Lake and Data Warehouse—have their limitations. The answer to these challenges is the Data Lakehouse architecture, […]

The financial sector is one of the most regulated and risk-prone industries. Banking, insurance, and investment institutions face daily challenges resulting from globalization, dynamic regulatory changes, and growing cyber threats. In this context, it is crucial to implement tools that not only enable the analysis of vast volumes of data, but also automate supervision and […]

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