Session Abstract

This hands‑on workshop introduces attendees to the end‑to‑end data and analytics capabilities of Microsoft Fabric, providing a practical, beginner‑friendly path into the unified analytics platform that brings together data engineering, data science, real‑time analytics, business intelligence, and governance under a single SaaS experience. Contents: 1. Introduction to data management, ETL, AI and Machine Learning; 2. Introduction to Microsoft Fabric and Power Platform; 3. Storing data: OneLake, LakeHouses, Data Warehouses and databases; 4. Moving data: Data Factory Pipelines and DataFlows, etc.; 5. Processing: Data Engineering and Data Science with Apache Spark; 6. Event handling and Real-Time Intelligence; 7. Consuming data: Power BI, Agents, and more; 8. Integration with PowerPlatform, Microsoft 365, Azure, Foundry and Copilots; 9. Administration basics: Workspaces, Permissions, Security, Governance; 10. Q&A. Throughout the workshop, participants will explore the core building blocks of Fabric, understand how workloads interconnect, and build practical solutions using notebooks, pipelines, semantic models, and dashboards. No prior Fabric experience is required, but familiarity with data concepts or basic programming (Python or SQL) is recommended. This is a beginner level workshop into Fabric (no pre-requisite of any of these technologies or concept, but basic knowledge of programming is expected). Machine learning is a data science technique that allows computers to use existing data to forecast future behaviour, outcomes, and trends. By using machine learning, computers learn without being explicitly programmed. Forecasts or predictions from machine learning can make apps and devices smarter. For example, when you shop online, machine learning helps recommend other products you might want based on what you've bought. When your credit card is swiped, machine learning compares the transaction to a database of transactions and helps detect fraud. And when your robot vacuum cleaner vacuums a room, machine learning helps it decide whether the job is done. Microsoft Fabric, Azure Databricks (and generically Spark, using Python, R, Scala or SparkSQL), and Azure Machine Learning, are cloud services that you can use to train, deploy, automate, and manage machine learning models, as well as process ETL operations on your data, all at the broad scale that the cloud provides. Attendees that want to try examples during the workshop need to have: • Laptop; • Have an active Microsoft 365 subscription with the possibility of starting a free Fabric Trial (this may be limited by your organisation's policies).

Note to event organizers

Latest version of the Fabric workshop, with all current best practices, similar to what I've delivered in Microsoft Small-Tent workshops in multiple countries. Full day and half day options are available (more or less demos)

André Melancia

Human Being 🌈 https://Andy.PT

Back to speaker profile