microsoft fabric
3 TopicsReal-Time Intelligence in Microsoft Fabric
Real-time intelligence in Microsoft Fabric enables organizations to instantly process and analyze streaming data, delivering actionable insights without delay. Leveraging services like Power BI, Data Factory, and Azure Synapse within the Fabric ecosystem, users can ingest data from IoT devices, apps, and event streams, applying transformations, aggregations, and AI models in real time. This allows for dynamic decision-making based on current data, crucial for scenarios such as monitoring, fraud detection, and supply chain optimization. Fabric’s integration of AI and analytics tools simplifies building these solutions, making real-time intelligence accessible and scalable across various industries. Join us with 'Surya Teja Josyula' [Senior product manager, Microsoft], who will walk us through with a detailed session on 'Real-Time Intelligence in Microsoft Fabric' this saturday, Nov 02nd at 1830 Hrs IST. https://shorturl.at/hzlfy3.2KViews0likes0CommentsIntro to PySpark in Microsoft Fabric
Welcome to *Intro to PySpark in Microsoft Fabric* by our renowned speaker 'Jared Kuehn'! In this session, we’ll explore PySpark’s powerful data processing capabilities within Microsoft Fabric, covering essential concepts, hands-on examples, and integration tips. Perfect for data engineers and analysts looking to leverage PySpark for scalable, efficient data transformation and analysis in Fabric. https://shorturl.at/Mgn3n1.1KViews0likes0CommentsData Science in Microsoft Fabric
Join us for an exciting session about exploring the data science experience in Microsoft Fabric and how it empowers Data Scientists with a unified and scalable end to end analytics platform. In this session, Ashraf will highlight the seamless Python and Spark integration, collaborative notebooks and AutoML capabilities. He will also showcase the self-service Data Wrangler for efficient data preparation and transformation. By the end, you'll see how Fabric streamlines data science workflows for impactful insights"2.8KViews0likes0Comments