
Explore Azure SQL Database migrations, including challenges, limits, and best practices for new projects, instrumentation, web apps, parallel processing, and data warehousing.

Explore temporal tables in SQL Server, their functionality, and applications in ETL and data warehousing. Learn implementation, querying techniques, and considerations for effective use.

Explore data analytics using SQL Server 2016, comparing it to BI and data science. Learn to organize data, use Power BI, R, and Analysis Services for exploration and visualization techniques.

Learn effective data storytelling techniques to create impactful visual narratives, focusing on key elements like goal-setting, snapshots, and actionable insights for compelling business intelligence presentations.

Explore differences in data loading between Azure ML Lab and PowerBI, focusing on predictive analytics techniques and data visualization for effective decision support systems.

Learn to build mission-critical apps using SQL Server 2017's advanced features like In-Memory performance, Automatic Tuning, and Always Encrypted for enhanced security and efficiency.

Explore Azure's big data and MPP offerings, including data lakes, HDInsight, and SQL Data Warehouse. Learn about architecture, storage options, and processing capabilities for efficient data management.

Explora el papel de SSAS en Azure para soluciones BI, aprende sobre modelado y carga de datos, y descubre cómo visualizar información con Power BI y Excel.

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 advanced data science techniques for custom visuals in Power BI, enhancing your ability to create AI-driven analytics and insightful visualizations.

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 como obter resultados inteligentes de fontes de dados não convencionais e discuta o impacto potencial da Inteligência Artificial no futuro, com um toque de humor.

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 Facebook data analysis using Power Query and Power BI. Learn to extract insights from your feed trends and photo locations for personalized self-service business intelligence.

深入探讨如何在Power BI中使用DAX进行时间维度的高级分析,包括创建日期表、XTD、移动平均线以及基于历史数据的预测分析。

Scopri le potenzialità di Power Query per la trasformazione dei dati in Power BI, inclusi i fondamenti del linguaggio M e le migliori pratiche per ottimizzare il suo utilizzo.

介绍一款强大的DAX工具,帮助用户快速高效地编写代码、构建模型和调试应用程序,提升Power BI、Analysis Services和Power Pivot开发效率。

Discover resources, best practices, and solutions for migrating big data to Azure. Learn about ADLS Gen2, Azure SQL Data Warehouse, and data movement tools for successful petabyte-scale transfers.

Explore the power of middle-tier modeling and calculation layers in data analysis, challenging the traditional "storage and charts" approach with case studies and clear explanations of their value.

Discover the power of spatial analysis using SQL Server, R, and Power BI. Learn to analyze location-based data, make informed decisions, and create compelling visualizations for real-world applications.

Learn to evaluate, provision, and optimize Azure SQL Data Warehouse. Covers scalability, cost-effectiveness, data loading, performance improvement, and security best practices for cloud-based data warehousing.