The podcast discusses updates from Microsoft Build 2024, impacts on Microsoft Fabric, DAX queries and functions analysis, AI deployment in cloud infrastructure, templates in Medallion architecture, advancements in product accessibility and data management, Microsoft's fabric framework integration, and real-time data processing in the fabric ecosystem.
New AI training capability in fabric framework for improved results and customization.
Seamless integration with Databricks Unity Catalog enhancing data accessibility and management.
Real-time hub introduction focusing on instant data insights and strategic evaluation for decision-making.
Deep dives
Parallel Development of AI Skills in Fabric and Databricks
A major announcement focused on the parallel development of AI skills within the fabric framework and Databricks, enabling users to train AI models within their respective environments. This feature aims to provide incremental value by refining and customizing AI models based on contextual information, leading to improved results. The seamless integration allows data to move back and forth between fabric and Databricks, enhancing data accessibility and interaction.
Fabric's Integration with Databricks Unity Catalog
Fabric's integration with Databricks Unity Catalog allows users to connect to and access Unity Catalog data within Fabric with ease. By loading the full catalog and schemas, users can ensure data remains up to date automatically, enabling smooth access and management of data across platforms. Additionally, fabric can now act as a remote catalog in Azure Databricks, enhancing data utilization and transfer between the two ecosystems.
Real-Time Data Processing and Reporting in Fabric
The introduction of the real-time hub in fabric signifies a focus on real-time data processing and reporting capabilities. While offering the potential for immediate data insights, the need for real-time data processing should be strategically evaluated due to associated costs and its impact on decision-making speed. The implementation of real-time features may cater to specific reporting needs such as rapid production insights, providing instant access to critical data.
Enabling External Applications via Workloads in Fabric
The introduction of workloads in fabric enables the connectivity of external applications to the fabric ecosystem, allowing third-party tools and services to seamlessly integrate with fabric for diverse data management and visualization purposes. This feature simplifies data administration by facilitating the incorporation of external tools directly into the fabric environment, fostering a more comprehensive and efficient data workflow.
Role of Databricks Unity Catalog in Seamlessly Accessing Data
The seamless integration with Databricks Unity Catalog enhances data access and management within the fabric environment. Users can effortlessly connect to Unity Catalog data within fabric, ensuring data integrity and alignment across systems. Furthermore, the bidirectional data flow between Databricks and fabric signifies a step towards unified data management, streamlining processes and enhancing data utilization across platforms.
With amazing updates from Microsoft Build 2024, the guys run through the major impact to Microsoft Fabric.
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