Monday 9:00 AM - 5:00 PM · Room 348
Introduction to Microsoft Fabric for the Data Professional
Bradley Ball
Microsoft - Sr. Cloud Solution Architect
Join us for a full day of exploration into Microsoft Fabric, the revolutionary Software as a Service (SaaS) product that’s changing the game in Business Intelligence and Modern Analytics. For the last 3 years, Microsoft has been building this groundbreaking technology, which offers the ability to ingest and link to existing data without duplication. With Azure Synapse Data Engineering, Data Factory, Data Science, Data Warehousing, Realtime Analytics, and Power BI all at your fingertips, the possibilities are endless. In this pre-conference event, we’ll guide you through a full build scenario, showing you how to link existing data, and utilize OneLake. Join us and discover the power of Microsoft Fabric!
Tuesday 1:30 PM - 5:00 PM · Room 340-341
Maximize efficiency in your data-driven projects by leveraging AI and Copilot technologies.
Prabhjot Kaur
Microsoft
Prashant Atri
Microsoft
Tammiraju Prasanth
Technical Director, Quadrant Technologies
In the Total Economic Impact™ of Microsoft Fabric study, the composite organization based on data from four companies using Fabric showed an increase in data engineer and data scientist productivity of up to 50%, plus a 15% increase in business analyst productivity.
In this workshop, we will explore the transformative potential of various copilots, AI services within Microsoft Fabric. It covers live demos and hands on experience on Microsoft Fabric Copilots, AI Skills, Fabric integration with AI and GenAI services.
Participants will thoroughly explore the Copilot maturity framework and learn strategies to overcome adoption challenges, enabling customers to maximize the benefits of Copilots.
Wednesday 8:30 AM - 9:40 AM · Room 340-341
Microsoft Fabric: Ultimate Data Security for Robust Data Warehousing
Jean Joseph
Technical Trainer/Data Engineer @Microsoft
This session delves into the advanced security features of Microsoft Fabric, specifically designed for data warehousing. Attendees will learn how to classify and protect sensitive data using sensitivity labels and policies in Microsoft Purview.
The session will cover the implementation of Row-Level Security (RLS) to restrict access at the row level, ensuring users only see data relevant to their roles. Additionally, it will explore Column-Level Security (CLS) to secure specific columns in datasets, providing an extra layer of protection for sensitive information.
Participants will also discover how to use data masking techniques to obfuscate sensitive data, making it unreadable to unauthorized users while maintaining usability for authorized personnel. The session will emphasize aligning data warehousing practices with regulatory requirements such as GDPR, HIPAA, and CCPA, leveraging Microsoft Fabric’s compliance tools and features.
Join us to gain a comprehensive understanding of how to secure your data warehouse end-to-end within Microsoft Fabric.
Wednesday 4:00 PM - 5:00 PM · Room 342
Fabric houses, when to go for Lakehouse or Warehouse (or both)?
Armando Lacerda
Cloud Data Platform Architect & Engineer
Should you keep your data in the Fabric Lakehouse or the Warehouse? What are the pros and cons? In Fabric, all and any data is kept in the OneLake, and it is processed by one of the Fabric’s data engines. Choosing between Lakehouse and Warehouse (or both) is at the same time a strategic and performance impacting decision. • In this demo oriented session you will learn: o Their distinctions and particular use cases o When they overlap o How to use them together o When not to use one of them (or either)
Thursday 2:00 PM - 3:10 PM · Room 342
Data Processing Architecture: Key Design Principles & Considerations
Jean Joseph
Technical Trainer/Data Engineer @Microsoft
In the era of big data, the design of data processing architecture is crucial for efficient data management and analysis. This presentation explores the fundamental principles and considerations essential for constructing robust data processing systems. Key design principles such as scalability, reliability, security, and flexibility are examined in detail.
The architecture's ability to handle varying data flows, ensure data integrity, and maintain security across multiple stages is emphasized. Additionally, the presentation discusses various architectural patterns, including data warehouses, data lakes, and data flow pipelines, highlighting their respective use cases and benefits.
Furthermore, the presentation contrasts traditional data processing architecture with the emerging concept of data mesh. While traditional architectures focus on centralized data processing and transformation, data mesh advocates for a decentralized approach, promoting domain-oriented data ownership and self-serve data infrastructure.
This comparison underscores the shift from monolithic data management to a more flexible and scalable architecture, addressing the diverse needs of modern data-driven organizations.
By adhering to these principles and considerations, data engineers can create systems that not only meet current data processing needs but are also adaptable to future technological advancements and data requirements.
Friday 10:20 AM - 11:30 AM · Room 344
Harnessing the Power of Data Mesh: A Deep Dive into the Four Pillars of Modern Data Architecture
Jean Joseph
Technical Trainer/Data Engineer @Microsoft
Abstract: In today's data-driven world, traditional data management approaches often struggle to keep pace with the growing complexity and scale of enterprise data. Enter Data Mesh, a revolutionary paradigm that redefines how organizations handle data. This session will explore the four foundational pillars of Data Mesh architecture: Domain-Oriented Decentralization, Data as a Product, Self-Serve Data Infrastructure, and Federated Computational Governance.
We'll delve into how Domain-Oriented Decentralization empowers teams to own and manage their data, fostering agility and innovation. Discover the concept of Data as a Product, where data is treated with the same rigor and care as any other product, ensuring quality and usability. Learn about Self-Serve Data Infrastructure, which democratizes data access and tooling, enabling teams to work independently and efficiently. Finally, understand the importance of Federated Computational Governance in maintaining security, compliance, and consistency across decentralized data environments.
Join us to gain insights into implementing Data Mesh in your organization, transforming your data strategy, and unlocking the full potential of your data assets.
Friday 12:30 PM - 1:40 PM · Room 348
Unleashing Modern Data Warehousing: Architecture, Insights & Future Innovations in Fabric Warehouse
Twinkle Cyril
Microsoft, Senior Product Manager
Join us for a deep dive into the modern data warehouse! We’ll break down the core principles, use cases, and architectural intricacies. Discover how innovations like Data Virtualization, enhanced Data Modeling experiences, AI-powered insights with Copilot, and more are helping developers and customers unlock the full potential of Fabric Warehouse. This session is packed with live demos, best practices, and an exciting glimpse into the future roadmap of Data Warehousing.