
Explore practical star schema design, from source to model to report. Learn best practices, test methodologies, and assess performance impacts in data modeling.

Explore a real-world EDW automation framework migration journey from SSIS to Synapse to Fabric. Learn migration processes, lessons, improvements, and unit testing strategies for data architects.

Unlock dynamic Object-Level Security in Power BI Datasets using PowerShell. Safeguard data while elevating analytical capabilities. Learn from experts Diogo Martins and José Calheiros.

Explore diverse analytics architectures, their pros and cons, and how Microsoft Fabric supports their implementation for effective data analysis.

Explore data architecture trends with a seasoned engineer, separating hype from strategic value in industry buzzwords and innovations.

Align Power BI admin skills with Fabric: explore capacity and workspace management in the extended realm, leveraging familiar concepts for new workloads.

Choose the right Microsoft Fabric workload for your business needs and understand current limitations in this informative session led by experienced Microsoft program managers.

Implement specific measures and KPIs to track Microsoft Fabric and Power BI adoption, enhancing data-driven decision making and organizational performance.

Explore Roche's Maxim through practical examples, learning to optimize data transformation processes for improved efficiency and effectiveness in data management.

Master efficient Power BI project management and deployment using Git integration. Learn techniques for streamlined workflows and version control in Power BI development.

Explore latest data science developments in Microsoft Fabric, including end-to-end workflow support, Copilot experiences, and evolving AI capabilities for enhanced productivity.

Discover the latest Power Query features in Power BI Desktop, Fabric Dataflows, and Excel, enhancing data transformation capabilities.

Explore DAX visual calculations, understanding their advantages over regular DAX for running sums and moving averages in data analysis.

Discover the key differences between exploratory and explanatory dashboards, and learn how to effectively design and implement each type for optimal data visualization.

Master data cleaning techniques using Fabric and OpenAI to transform chaotic datasets into valuable insights, enhancing your data quality skills for improved analysis and decision-making.

Learn to build a successful data engineering team and culture, empowering engineers and partners for efficient data systems and fruitful projects. Explore critical roles and strategies for data-driven decision-making success.

Develop a Streamlit data app to visualize advertising ROI using Snowpark Python. Learn data ingestion, transformation, ML modeling, and interactive visualization techniques.

Optimize Snowflake cost and performance with deep insights into architecture, billing, virtual warehouses, micro-partitioning, caching, and best practices for configuration and query writing.

Learn to build an ML experimentation platform using lakeFS for version control and reproducibility. Explore creating frameworks, reproducing iterations, and building intuitive infrastructure with open-source tools.

Explore dbt's manifest.json file, its production, and applications in data pipelines. Learn about deployment configurations, quality enforcement, and streamlined development workflows using real-world examples.

Explore DuckDB's potential to revolutionize data analytics, shifting from centralized warehouses to powerful local processing. Learn how this approach can enhance efficiency and user control in data management.