David L. Bojsen

Do you find the alert emails from Azure Data Factory (and related orchestration engines) too vague and unhelpful? Do you wish you could get more information and guidance on how to resolve the issues that trigger the alerts? If so, this session is for you. You will learn how to customize and enhance the alerts from Data Factory with more context and even a call to action. You will see how to create alerts that are more informative and actionable. When the session is over, you’ll have the skills to improve your own monitoring and alerts for data orchestration, no matter if you are working with data in Azure SQL, Databricks, Fabric or other systems.

Do you find the alert emails from Azure Data Factory (and related orchestration engines) too vague and unhelpful? Do you wish you could get more information and guidance on how to resolve the issues that trigger the alerts? If so, this session is for you. You will learn how to customize and enhance the alerts from Data Factory with more context and even a call to action. You will see how to create alerts that are more informative and actionable. When the session is over, you’ll have the skills to improve your own monitoring and alerts for data orchestration, no matter if you are working with data in Azure SQL, Databricks, Fabric or other systems.

"Models in Flight" is a concise, in-depth session on Tabular Editor 3's latest updates and features. It covers new integrations, enhanced data analysis tools, and introduces Tabular Editor Learn, a comprehensive online training program. This session is ideal for those seeking to advance their...

Tabular Editor (TE) is a widely used tool for Power BI and Analysis Services data model development. Whether you're using the free or commercial version, its built-in Best Practice Analyzer provides a simple and effective way to validate your data models against established best practices. This session is designed to help you get the most out of the Best Practice Analyzer and ensure that your data models are optimized for performance, scalability, and maintainability. You'll learn how to utilize existing rule sets published by TE, the Power BI Customer Advisory Team, and other third parties, and how to customize these rules to meet your specific requirements. You'll discover how to integrate the Best Practice Analyzer into your development process, including during validation steps in CI/CD pipelines, to catch potential issues early and improve your data models over time. In addition, you'll learn how to create your own custom rule sets for naming conventions, code conventions, and other best practices specific to your organization. By the end of this session, you'll have a solid understanding of how to use the Best Practice Analyzer to improve the quality and performance of your data models and ensure that they meet the needs of your organization. Note: To get the most from this session, attendees should have prior experience with Tabular Editor and a basic understanding of Analysis Services Tabular, Azure Analysis Services, or Power BI data models.