
Detailed guide on migrating SQL Server 2008/R2 to Azure, covering lifecycle, tools, common blockers, and solutions for near-zero downtime transitions using Azure Database Migration Service.

Explore integrating R, Azure Machine Learning, and advanced Power BI features for enhanced data insights and automated analysis capabilities.

Best practices, tips, and tricks for successfully using Azure SQL Database in production environments, covering key strategies for optimal performance and management.

Discover built-in Azure tools for identifying and resolving database performance issues, enhancing customer experience and streamlining troubleshooting processes.

Aprende a crear y gestionar proyectos de integración de datos escalables en la nube utilizando Azure Data Factory, abordando fuentes en la nube, on-premise y paquetes SSIS tradicionales.

Aprende a utilizar Power BI para consumir información de servicios en la nube de Azure y reforzar estrategias de Business Intelligence basadas en la nube.

Aprende a extraer y analizar datos de múltiples fuentes no estructuradas utilizando Azure Logic Apps y Power BI en esta sesión práctica y demostrativa.

Learn to analyze feedback using Azure Cognitive Services, transforming data from Dynamics 365 to create insightful models and gain valuable AI-driven analytics insights.

Explore digital assistants: comparing Alexa and chatbots, their capabilities, and how to choose the right one for your needs based on real-world implementation experiences.

Learn Azure Data Factory fundamentals, build new data pipelines, and migrate SSIS packages. Discover how to streamline your data integration processes in the cloud.

Explore Azure Data platform's modernization solutions for SQL Server on-premises and cloud migration, featuring insights from Microsoft and Intel® on cutting-edge technologies for data transformation.

Develop scalable data solutions using Azure Databricks for efficient processing, collaborative development, and seamless integration with Azure services and Power BI visualization.

Learn to create and use machine learning models in Power BI, leveraging Azure's capabilities for data-driven insights. Hands-on demos showcase AI integration for enhanced business intelligence.

Explore Azure Cognitive Services APIs for developing intelligent applications. Learn about various categories, including Computer Vision, Speech, Language, and Search, with practical demos and use cases.

Explore a framework for Azure Data Factory ingestion, covering data strategy, metadata database design, and automated pipeline development for efficient data lake management.

Explore Azure Databricks for big data processing, advanced analytics, and real-time insights. Learn platform basics, architecture, and integration with Azure components for data-driven solutions.

Explore Azure AI's potential to transform businesses using data science and machine learning. Learn how to leverage this suite for client solutions through practical demonstrations and real-world examples.

Explore Azure fundamentals for DBAs, covering key concepts, terminology, and hands-on demos. Learn to set up virtual machines and SQL databases, enhancing your cloud skills for career growth.

Explore container deployment in Azure: build images, use Azure Container Registry, deploy to Azure Kubernetes Services, and learn scaling techniques for efficient application management.

Explore big data architectures, data lakes, and modern data warehousing. Learn about Hadoop, cloud benefits, and strategies to effectively manage and analyze large-scale data for business intelligence.

Explore Azure Cognitive Services' Vision category to enhance business decisions with AI models. Learn about Face API, Computer Vision, and Form Recognizer for practical AIaaS implementation.