Samantha Cruz
Lead Data Engineer @isolutions AG
Barcelona, Spain
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Samantha is a Lead Data Engineer with deep technical expertise in Azure, Microsoft Fabric and Databricks, she designs and optimizes end-to-end data platforms, enabling efficient data processing, governance, and insight generation across enterprise environments. She is also a dedicated educator and speaker, she is passionate about translating complex data concepts in an accessible language.
Area of Expertise
Topics
Gobernanza de Datos en Fabric: Lineage de Datos con Purview
En este proyecto se implementó una solución para registrar la trazabilidad de datos (data lineage) en Microsoft Purview desde notebooks de Spark en Microsoft Fabric. Automatizamos el registro de activos y procesos que ocurren dentro del Lakehouse, para que se pueda visualizar cómo los datos fluyen entre tablas y transformaciones.
Se utilizó la librería PyApacheAtlas, que permite interactuar con el catálogo de datos de Purview mediante el API de Atlas. A través de una función desarrollada en Python, se crean entidades que representan las tablas (por ejemplo, las capas Bronze, Silver y Gold), y también los procesos que conectan estas tablas, como ingestiones, transformaciones o fusiones de datos. Cada elemento queda registrado con su nombre, ubicación y descripción, y puede visualizarse luego en la vista de "lineage" de Purview.
Toda la autenticación se maneja mediante un Service Principal configurado en Key Vault, permitiendo que la solución funcione de forma segura dentro del entorno de Fabric.
Esta solución mejora la visibilidad, facilita auditorías y fortalece la gobernanza de los datos.
A modo de cierre, se presetarán posibles líneas de evolución para esta solución, como la integración de OpenLineage para capturar automáticamente la trazabilidad durante la ejecución de los notebooks.
AI-Powered Multilingual Reports with Azure AI and Semantic Link Labs
Creating Power BI reports for multilingual audiences can become complex and repetitive. This session presents a scalable and automated approach to building dynamic, multi-language reports using Azure AI Translator and Semantic Link Labs.
Semantic Link Labs will be used to translate metadata elements such as table names, column labels, and measure descriptions directly within the Power BI semantic model. Meanwhile, Azure AI Translator will process and translate the content inside tables, for example, values in dimension tables that need to appear in multiple languages in slicers or visuals.
Topics covered will include:
- Translating model metadata using Semantic Link Labs
- Translating table content dynamically with Azure AI Translator
- Enabling language switching based on browser locale or URL parameters
- Avoiding duplicated reports and reducing maintenance effort
- Deployment and automation strategies for multilingual scenarios
This session is ideal for data teams building Power BI reports for international users, or organizations looking to streamline multilingual reporting without duplicating content.
Deploy Your Microsoft Fabric Architecture with CI/CD in 10 Minutes
This session explores how to deploy a complete Microsoft Fabric architecture using Terraform and Azure DevOps.
The focus is on applying infrastructure as code (IaC) principles to data architecture, making every environment setup consistent, repeatable, scalable, and fast.
We start by introducing the structure of a Microsoft Fabric deployment, including capacities, workspaces, and associated resources. Then we look at how to model this architecture using Terraform, leveraging the Fabric provider to define Fabric-specific resources.
The Terraform code is modular and designed to be reused across different environments. By defining variables for project names, environment tags, and other settings, the same code can be used to deploy dev, test, and prod setups with minimal changes.
We configure Azure DevOps to run the Terraform code through multi-stage pipelines. These infra-structure pipelines handle validation, plan, apply, and include optional manual approval gates for production stages.
The full CI/CD flow ensures that deployments are automated, controlled, and aligned with best practices for managing infrastructure in enterprise environments.
A live demonstration shows the end-to-end process: cloning the code, updating variables, triggering the pipeline, and deploying the Microsoft Fabric components in Azure.
This approach allows data teams to treat infrastructure as code, integrate it into version control, and reduce the time and risk involved in setting up Azure and Fabric objects manually.
Bizz Summit ES 2025 Sessionize Event
Power BI & Fabric Barcelona (Powered By isolutions) User group Sessionize Event
Power BI & Fabric Summer Fest Barcelona Sessionize Event
Global Azure Barcelona Sessionize Event
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