Hosts discuss investing $100 in Microsoft Fabric, including improvements such as dark mode and synchronizing features. The desire for uniformity and consistency in Power Data Flows is emphasized, along with challenges in cost management and data integration. User interface frustrations, limitations of fabric preview, and issues with sharing Power BI content with external users are discussed. The need for better data model editing and AI innovations in data analysis tasks is explored. Benefits of using notebooks within fabric, challenges in managing data in crowded workspaces, and the importance of unified catalog for data lineage are covered. AI-generated commit messages and auto-summarization features are mentioned.
Improvements are needed in the Fabric UI to allow for better organization of artifacts and easier navigation between different components such as data flows, data sets, and models.
Notebooks in Fabric need better debugging and error handling capabilities to enhance the development experience.
Fabric would benefit from better integration with external data engineering and data management tools to improve collaboration and automate processes.
Deep dives
Better UI in Fabric for improved organization and navigation
Improvements are needed in the Fabric UI to allow for better organization of artifacts and easier navigation between different components such as data flows, data sets, and models. The current layout and organization of artifacts can be confusing, and there is a need for clearer identification of the relationships and dependencies between different objects.
Enhanced Debugging and Error Handling in Notebooks inside Fabric
Notebooks are a powerful tool for data engineering and ETL processes in Fabric. However, there is a need for better debugging and error handling capabilities within the notebook experience. Developers often face challenges when identifying and resolving issues with their code, and improved debugging features would greatly enhance the notebook development experience in Fabric.
Improved Integration with External Tools for Seamless Collaboration
Fabric would benefit from better integration with external data engineering and data management tools. This would enable seamless collaboration between different tenants, companies, and consultants, allowing them to work with and manage artifacts more efficiently. Additionally, external tooling could help automate data ingestion, manipulation, and other processes within Fabric.
AI Innovations for Data Understanding, Data Cleaning, and Code Assistance
The integration of AI innovations within Fabric would greatly enhance the data understanding, data cleaning, and code assistance capabilities of the platform. AI could help identify inconsistencies in data sources, provide suggestions for data cleaning and transformation, and assist with code generation and debugging, improving overall efficiency and accuracy in data engineering and analysis.
Full GIT Integration for Better Version Control and Collaboration
Seamless integration with GIT for version control and collaboration is essential for efficient development workflows in Fabric. This would allow for better tracking of changes, easier collaboration among developers, and improved code management across different artifacts within the Fabric workspace. GIT integration should cover not just reports and data sets, but also data models and transformations to provide comprehensive version control capabilities.
Mike, Seth, & Tommy take on owning Microsoft Fabric and breaking down their "Budget" and where would they put their hard earned cash for future developments.
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