Building Trust at Scale: Data Observability with Microsoft Fabric

In a data‑driven organization, a reliable data foundation is critical for analytics, reporting, and AI‑driven decision‑making. As data flows become more complex, the need for structured data observability increases: continuously monitoring anomalies, job execution, data reliability, and the overall health of the data platform.
In this session, we show how Microsoft Fabric delivers an end‑to‑end observability experience with integrated monitoring across pipelines, jobs and OneLake. Through real‑world examples, we demonstrate how organizations detect anomalies earlier, monitor job behavior, gain insight into data movement across OneLake and prevent data loss before it impacts consumers.
After this session, you will not only understand what data observability is, but more importantly, how to apply it to professionalize your data platform, reduce operational risk and accelerate innovation with Microsoft Fabric.

Mastering Data Governance with Microsoft Fabric and Purview in AI-Driven Industries

In the era of AI, data governance is no longer optional - it’s critical. This workshop dives deep into how Microsoft Fabric and Microsoft Purview empower data professionals to implement robust governance frameworks across the Microsoft Cloud.

In this workshop, learn how to implement enterprise governance solutions that span Microsoft Fabric and the wider Microsoft Cloud estates. The session covers the governance and compliance capabilities of Microsoft Fabric, including endorsement, metadata scanning, and lineage. We’ll explore how to curate, manage, and present data as quality, fit-for-purpose products tailored to specific use cases and user personas. The session covers Data Quality Management (DQM), Master Data Management (MDM), and the use of health controls to maintain data health across your Microsoft Cloud environment. We will explain how Microsoft Fabric and Microsoft Purview work together to provide a seamless data governance experience. You’ll see how these tools integrate to offer comprehensive solutions, from Data Loss Prevention (DLP) and sensitivity labels to auditing and domain-level governance, streamlining management and enhancing data quality.

By the end of this session, you’ll be able to use Microsoft Purview to discover, classify, and protect data; implement Data Loss Prevention strategies; conduct auditing to ensure compliance; build and maintain high-quality data products; and integrate Microsoft Fabric and Microsoft Purview into a unified data governance strategy.

Prerequisites:
Familiarity with Microsoft Fabric concepts; Microsoft Purview will be introduced during the session

From Insight to Oversight: Securing Fabric with Purview

As organizations accelerate their adoption of AI and advanced analytics, securing sensitive data within platforms like Power BI becomes mission-critical. This session explores how Microsoft Purview enables robust Data Loss Prevention (DLP) and Insider Risk Management (IRM) across Power BI and Microsoft Fabric environments. We’ll walk through real-world scenarios where Purview policies help classify, label, and protect sensitive data, prevent oversharing, and detect risky user behavior—especially in AI-driven contexts such as Copilot interactions.

Attendees will gain insights into how to design and implement DLP and IRM policies that align with compliance requirements and operational needs. The session will also showcase how to leverage Microsoft Purview’s integration with Power BI to monitor data usage, enforce protection policies, and respond to insider risks, all while maintaining user productivity and trust.

From Raw Data to Intelligence: Building AI‑Ready Platforms with Fabric

Building scalable data platforms in Microsoft Fabric requires platform engineering by design, especially when moving from raw data to actionable intelligence. This session explores the Fabric Metadata Driven Framework (FMD) and how Fabric SQL Database acts as the control plane for metadata driven pipelines, notebooks and observability across the lakehouse. You’ll learn how to cleanse raw data and enforce data quality controls, so your data becomes reliable, governed and ready to power your intelligence and AI layers. Ready to build your AI foundation?

Fabric Security for the Data Engineer

In today’s data-driven world, security is paramount. This deep-dive workshop equips data engineers with the essential skills to secure Microsoft Fabric environments, manage data access, and ensure compliance with regulatory standards. Covering everything from network security to granular permissions and the latest compliance tools, this training is your gateway to mastering Fabric Security.

By the end of this workshop, you will be able to

- Implement advanced network control measures, including Private Link, Managed Virtual Networks, and Conditional Access.
- Secure traffic in and out of Fabric environments and connect external data sources seamlessly.
- Manage and enforce fine-grained data permissions for downstream users, enabling secure self-service analytics.
- Ensure compliance with data protection regulations through encryption, loss prevention, and auditability.
- Leverage tools like Purview, Sensitivity Labels, and upcoming Fabric security features to optimize your environment.

This workshop is designed for
Data engineers, architects, and security specialists working with Microsoft Fabric. Whether you’re responsible for implementing network security, managing data permissions, or ensuring compliance, this session is tailored to provide actionable insights and best practices.

Embark on a transformative journey into building an end-to-end solution within the Microsoft Fabric.

As a newcomer, you’re about to dive into the fascinating process of data extraction and report creation.

This session will guide you through the essential steps to kickstart your data extraction endeavors. You’ll gain a deep understanding of diverse data sources and learn to navigate through powerful connectors within Microsoft Fabric, setting up a solid foundation for your data journey from all the lessons we have learned.

Immerse yourself in the realm of Data Factory, where you’ll craft seamless data pipelines and Notebooks that effortlessly shuttle information between sources.

But the journey doesn't stop there. You'll also learn to take full advantage of on demand loading and (near-) real-time reporting capabilities by using Direct Lake connectivity to Power BI.

And the last part of the journey, whilst we're working in the era of AI, we take full advantage of services like Co-pilot to support our development process throughout the entire journey up to data visualization.

This session is more than just an introduction to Microsoft Fabric. It’s a comprehensive guide designed to equip you with the knowledge and confidence to navigate the landscape of data extraction and report creation.

So, get ready to unravel the mysteries of data extraction and chart your course towards building insightful reports. Welcome to your immersive Fabric initiation.

Microsoft Fabric: Building a Data Ingestion and Processing framework to Drive Efficiency

Data pipelines are essential for moving and transforming data between different systems. However, managing a large number of data pipelines can be challenging and time-consuming. How can you ensure that your data pipelines are efficient, reliable, and consistent?
In this session, you will learn how to use a metadata-driven approach to manage your data pipelines and Notebook in Microsoft Fabric. Metadata is data about data, such as source, destination, schema and format.
By using metadata to define and control your data pipelines, you can achieve the following benefits:

1. Simplify and automate the creation and execution of data pipelines
2. Optimize the performance and scalability of data pipelines
3. Monitor and troubleshoot data pipelines

We will show you how to implement a Data Ingestion and Processing framework based on the Medallion Lakehouse architecture. We will also share the key learnings, best practices, and patterns that we have discovered from applying this framework in our own work.
All code used during the demo will be shared afterwards, so you can start building a framework directly after the session

Onelake with Fabric, The Data Lake-as-a-Service Platform

In this session, we delve deeper into OneLake, a crucial component of Microsoft Fabric that serves as a data lake-as-a-service solution. OneLake enables organizations to avoid data silos and centrally store and manage data without the need to build or maintain a data lake themselves. It functions as a data storage platform, much like OneDrive does for files.

During this session, we explore how OneLake works and why it is a true game changer. We discuss the various capabilities of OneLake, including out-of-the-box governance features such as data lineage, data protection, certification, and catalog integration. These features facilitate streamlined data management and enhanced compliance.

Furthermore, we examine the integration of OneLake with other services, such as Power BI. Discover how applying a sensitivity label to a OneLake file automatically applies to related Power BI datasets, ensuring consistent security and compliance.

Whether you're a data engineer, data scientist, or analyst, this session provides valuable insights into how OneLake can help centralize and manage data while leveraging the scalability, security, and advanced capabilities of Microsoft Fabric. Get ready to explore the possibilities of OneLake and understand why it is a critical component of the modern data landscape.

I look forward to welcoming you to this engaging session, and learn you how OneLake can make a difference in your organization.

Microsoft Purview what does this mean to me as an organization?

Microsoft Purview offers significant benefits for business users, streamlining and enhancing data governance, compliance, and risk management.
In this session, we will cover the new portal specifically designed for data governance, which includes functionalities for:

• Business Domain Management: Organize and manage data assets by business domains, ensuring relevance and context.
• Data Products: Create, manage, and govern data products, ensuring they meet organizational standards and are easily discoverable.
• Data Quality Management: Tools to assess and improve data quality, ensuring reliable and accurate data.
• Data Estate Health: Monitor the overall health of your data estate, identifying issues and areas for improvement.

By the end of the session, you will have a comprehensive understanding of how Microsoft Purview can enhance your organization's data governance what Microsoft Purview could mean in your organization.

The Crucial Role of Data Quality in Your Data Estate

In today’s data-driven landscape, the quality of your data directly impacts the accuracy of AI-driven insights and decision-making. Here’s why data quality matters:

- Trustworthy Insights: Reliable data ensures that AI models generate accurate predictions and recommendations. Without trustworthy data, there’s a risk of eroding trust in AI systems.
- Business Processes and Decision-Making: Poor data quality or incompatible data structures can hinder business processes and decision-making capabilities. Clean, well-structured data is essential for informed choices.

A powerful data platform plays a crucial role in maintaining high data quality. With a robust data platform, you can ensure that your data is consistent, accurate, and readily available for various applications and processes. Leveraging such a platform is foundational for implementing effective data quality measures.

During the session, we will guide you through Microsoft Purview Data Quality:
This comprehensive solution empowers business domain and data owners to assess and oversee data quality. It offers no-code/low-code rules, including out-of-the-box (OOB) and AI-generated rules.

Purview Data Quality incorporates AI-powered data profiling. It recommends columns for profiling, allowing human intervention to refine these recommendations. This iterative process enhances accuracy and improves underlying AI models.

By integrating Microsoft Purview with your data platform, you can apply and monitor data quality processes more effectively. This integration ensures seamless data management and governance across your data estate.

During the session, we will walk you through the Data Quality Life Cycle:

- Assign data quality steward permissions in your data catalog.
- Register and scan data sources in Microsoft Purview Data Map.
- Set up data source connections for quality assessment.
- Configure and run data profiling.
- Define and apply data quality rules.

Building a Fortress of Your Fabric Environment: Security Best Practices for Data Engineers

Microsoft Fabric is a powerful, all-in-one analytics solution for enterprises that integrates data movement, real-time analytics, data science, and business intelligence. As data engineers, securing this environment is essential to protect sensitive data while maintaining efficiency. Microsoft Fabric, as a SaaS platform, offers robust built-in security features that simplify this task.

In this session, we’ll dive into the key security features and practices you can leverage to strengthen your Fabric environment. We’ll discuss the latest available security options, including private links for inbound access to Fabric and its artifacts, Trusted Workspace, Managed VNets with outbound Private Endpoints for external resources and how users can authenticate, ensuring your data remains secure.

By the end of this session, you’ll have a comprehensive understanding of the out-of-the-box security features of Microsoft Fabric, as well as the best practices to implement for maintaining a resilient and secure data environment.

This knowledge will help your organization safeguard its data, enhance operational efficiency, and build a secure foundation for future growth.
After this session you are ready to build your own Fortress.

Empowering Data Products and Data Agents through Data Mesh in Microsoft Fabric

Unlock the full potential of Data Mesh principles within Microsoft Fabric to deliver scalable, domain-driven analytics. This session dives into the architectural foundations of Data Mesh and demonstrates how to implement them using Lakehouses, Databases, and Warehouses in Fabric.
You’ll learn how to design and structure domains and subdomains to accelerate the creation of Data Products that are discoverable, interoperable, and governed by clear ownership. Explore how Data Agents can leverage these products to enable decentralised decision-making and deliver high-quality insights across the organisation.
Through practical examples and best practices, we’ll cover:

Domain modelling for analytics at scale
Building self-service Data Products with Fabric components
Applying governance and security in a federated model
Empowering Data Agents to drive AI-ready insights and automation

Whether you’re starting your Data Mesh journey or looking to operationalise it in Fabric, this session equips you with actionable strategies to transform your data architecture into a flexible, resilient, and business-aligned ecosystem.

Master the principles of Data Mesh with Fabric. This session explores building scalable, domain-driven analytics through Lakehouses, Databases & Warehouses. Learn how to structure (business)domains to accelerate the creation of Data Products & empower Agents for decentralized, high-quality insights.