End-to-End Security for Data Warehousing in Microsoft Fabric

With data now at the core of every successful business, robust security and governance are more critical than ever. In this session, we’ll explore how security is implemented for Warehouses in Microsoft Fabric, and walk through practical strategies for building a secure, trusted environment from the ground up.

Through demos, best practices, and the latest feature updates, you'll learn how to:

• Set up private links and enforce conditional access at the tenant and workspace levels
• Securely bring external data into your Fabric Warehouse
• Manage user access with Workspace roles and fine-grained item-level permissions
• Use T-SQL for granular access control
• Implement object-level, row-level, and column-level security with T-SQL

Whether you're an architect, data engineer, or security administrator, this session will equip you with the knowledge and guidance to build a secure, scalable, and compliant data warehousing environment in Microsoft Fabric.

Microsoft Fabric is evolving rapidly in the area of security. This session will include the most up-to-date security features that are publicly available at the time of the conference.

Introduction to Lakehouse in Microsoft Fabric

Join this session to learn about Lakehouse architecture in Microsoft Fabric. Microsoft Fabric is an end-to-end big data analytics platform that offers many capabilities including data integration, data engineering, data science, data lake, data warehouse, and many more, all in one unified SaaS model.
In this session, you will learn how to create a lakehouse in Microsoft Fabric, load it with sample data using Notebooks/Pipelines, and work with its built-in SQL Endpoint as well as its default Power BI dataset which uses a brand-new storage mode called Direct Lake.

Introduction to Microsoft Fabric

Microsoft Fabric is a comprehensive data and AI analytics platform that seamlessly integrates data integration, data engineering, data science, analytics, and more into a unified Software as a Service model with a streamlined capacity pricing model.

Join this demo-intensive session for an insightful introduction to Microsoft Fabric.

Enabling writeback in Power BI using PowerApps

Discover the dynamic duo of Power Apps and Power BI in this session, where we explore the seamless integration of Power Apps visual within Power BI reports to enable writeback to SQL data sources, including SQL Database in Fabric and Microsoft Fabric Warehouse.

Learn how to effortlessly enhance your reports with real-time data interaction and writeback capabilities using low-code/no-code techniques. Understand how to trigger automatic page refreshes in Power BI to reflect updated data in near real time.

Leave equipped with the knowledge to achieve these outcomes with ease, requiring just a few lines of code.

This is an intermediate session.

Certified to Succeed: How Technical Certifications Propel Your Career

Explore how certifications can drive long-term success for Data professionals. This session discusses why you should consider certification and offers practical strategies to navigate the certification landscape. We will focus not only on popular certifications like PL-300 and DP-600 but will provide practical advice on preparing for exams, including tips and tricks for time management and the exam process.
Whether you're starting out or advancing your career, learn how to leverage certifications to achieve your professional goals.

Getting Started with Copilot in Microsoft Fabric

Microsoft Fabric is revolutionizing data analytics, and Copilot is here to make it even smarter! Now available across all Fabric capacities, Copilot is more accessible than ever, allowing users at all levels to take advantage of AI-driven efficiencies. This session is a beginner-friendly introduction to Copilot within Microsoft Fabric, showcasing how AI can streamline data workflows, enhance insights, and boost productivity.

We'll dive into what Copilot in Fabric is and how it fits into different data workflows, helping with things like data engineering, analytics, and reporting. You'll see real-world examples of how Copilot makes tasks—like writing SQL queries, creating Power BI visuals, and summarizing data—way easier.

By the end of this session, attendees will have a solid foundation in Copilot’s capabilities within Fabric and feel ready to incorporate AI-driven efficiencies into their data workflows.

Hybrid Tables in Power BI

Hybrid tables, a new addition to Power BI, are a game changer in that they provide the best of both worlds by allowing one table to have two storage modes at the same time!

Before the introduction of Hybrid tables, each table in Power BI could only have one storage mode: Import which loaded data entirely into Power BI’s memory or DirectQuery which left data in the back-end data source. When working with near real time requirements, Power BI developers had to use tables with DirectQuery; however, DirectQuery by itself could result in less than optimum query performance for large datasets and put a burden on the backend system.
Hybrid tables combine the two storage modes and therefore provide improved query performance for historical data by loading them into memory (Import) and provide near real time capability for recent data (DirectQuery).

Join this session to learn about different table storage modes in Power BI including the newest Hybrid option and how to use it.

Hybrid Tables are planned to be in public preview in December 2021.

Incremental Refresh and Hybrid Tables in Power BI

Incremental Refresh makes it possible for Power BI to handle large datasets by partitioning the data into segments and making refreshes faster, more reliable, and less resource intensive.
Hybrid tables, a new addition, can be easily configured for a table with Incremental Refresh to enable different storage modes for its different partitions. This allows historical data to load into Power BI’s memory (import) for super-fast query performance and to leave the most recent data in the backend (DirectQuery) for near real time results.

Join this session to learn about different table storage modes in Power BI including Hybrid, understand the benefits of Incremental Refresh, and see how easy it is to set up Hybrid Tables along with Incremental Refresh to provide super-fast performance for historical data while having recent data be available to users in near real time.