Microsoft Fabric

It helps to visualize and analyze data, showing the most important information in a clear and easy to understand way, and allowing to share this information with other users.

Facilitates data integration through automated ETL flows, connecting diverse sources with a visual interface that simplifies the preparation and transformation of information for secure, centralized analysis.

It is a scalable and flexible solution for storing and analyzing large volumes of data, with a high-performance SQL engine that speeds up complex queries and access to key information.

Enables the creation and management of machine learning models integrated with Azure Machine Learning, facilitating trend prediction and advanced analytics for strategic decision making.

It allows processing large-scale data efficiently, using Apache Spark to transform and clean information, organizing it in a structured way to facilitate its analysis and modeling.

Processes and analyzes data in real time, ideal for scenarios such as IoT, telemetry and log analysis. With low latency and high throughput, it facilitates the analysis of constantly changing data to make instant and strategic decisions.