Discover how Pure partners with Microsoft to deliver a transformative, future-ready data management approach that empowers customers to innovate and efficiently scale from on-premises to cloud. This session will highlight Pure's latest capabilities and product offerings, specifically focusing on advancements in our SQL Server 2025 integration for FlashArray and Pure Storage Cloud Azure Native.

Engage in a deep technical discussion on how to achieve scale and performance for your application deployed in Azure Kubernetes Service (AKS) through a combination of architectural best practices, modern networking features, and premium SKUs.

Are your cloud ops teams drowning in noisy signals and slow root cause analysis? See how thousands of organizations such as yours use Azure SRE Agent to solve this by turning telemetry into precise actions using AI. It automates detection, diagnosis, and remediation across your stack—reducing MTTR, improving service health, and freeing engineers to focus on innovation. Outcome: faster recovery, fewer escalations, and resilient cloud services.

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Learn to leverage agent-framework, the new unified platform from Semantic Kernel and AutoGen engineering teams, to build A2A compatible agents similar to magnetic-one. Use SWE Agents (GitHub Copilot coding agent and Codex with Azure OpenAI models) to accelerate development. Implement MCP tools for secure enterprise agentic workflows. Experience hands-on building, deploying, and orchestrating multi-agent systems with pre-release capabilities. Note: Contains embargoed content.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

See how Azure’s new AI-powered migration agents make moving to the cloud faster, easier, and more reliable. In this session, we’ll walk through a complete end-to-end migration of applications, databases, and dependencies to Azure IaaS and PaaS—covering discovery, assessment, planning, and execution. Learn how to reduce complexity, minimize risk, and modernize confidently with step-by-step guidance and real-world scenarios.

Delivered in a silent stage breakout.

Modernizing legacy .NET apps just became easier end to end. Explore how Visual Studio 2026, .NET, and GitHub Copilot modernization tooling streamline the journey. Learn how new features in Azure App Service solve common compatibility challenges—delivering scalable, secure, AI-ready deployments with deep observability and cost efficiency.

Learn more about migration and modernization of Windows Server, SQL Server, and .NET apps. Learn how to assess and migrate Windows Server and SQL Server workloads using Azure Migrate and Azure Database Migration Service (DMS). This lab covers discovery, dependency mapping, migration execution, and post-migration optimization as well as leveraging Microsoft Defender for cloud for securing workloads post migration.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this hands-on lab, you will learn how to migrate traditional workloads to AKS using containerization and AKS Automatic, while enhancing functionality through integration with Azure PaaS services. We'll also explore how GitHub Copilot Application Modernization accelerates the process with AI-assisted coding and intelligent refactoring, helping teams streamline modernization and unlock cloud-native capabilities faster.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this session I will demo how you can migrate vm's from VMWare or Hyper-V to Azure Local using Azure Migrate. I will demo how you configure the Azure Migrate Project, how you deploy the Azure Migrate Appliance, how you enable synchronization and migrate and finalize the cutover. During this theater session you should have a good understanding on how you can migrate your vm's to Azure Local with a short down time for migration and for free without buying expensive third-party tools.

Discover how Microsoft Cloud empowers SAP customers to modernize their business with SAP Business Suite through the RISE with SAP journey. Explore infrastructure innovations like High SLA for RISE, AI-driven monitoring, and performance optimization. See how organizations deploy RISE with SAP on Azure, integrate SAP BTP and BDC, secure workloads with Defender and Sentinel, while meeting sovereignty and compliance needs.

SAP Databricks on Azure integrates Databricks Data Intelligence Platform with SAP Business Data Cloud, unifying SAP and external data for advanced analytics, AI, and ML. It enables building intelligent apps and actionable insights using trusted SAP and third-party business data. Available natively on Azure within SAP Business Data Cloud, it offers seamless access without data duplication via Delta Sharing. This session highlights automated forecasting, exploratory analysis, and BI use cases.

“On Air at Microsoft Ignite” will deep dive into key announcements with expert interviews, demonstrations, and real-world applications for all the latest news. ​​

Hour 2 will feature:​ Azure Infrastructure: Jeremy Winter ​ AI Skills Navigator: Kavitha Radhakrishnan​ Varonis: Shawn Hays​ NVIDIA: Andrew Hester​ GitHub Copilot: Martin Woodward​ AMD: Arjun Oberoi & Daniel Kim

Transform your data replication strategy into a competitive advantage with Oracle GoldenGate 23ai. This comprehensive guide delivers the practical knowledge DBAs and architects need to implement, optimize , and scale Oracle GoldenGate 23ai in production environments. Written by Oracle ACE Director Bobby Curtis, it blends deep technical expertise with real-world business insights from hundreds of implementations across manufacturing, financial services, and technology sectors. Beyond traditional replication, this book explores the groundbreaking capabilities that make GoldenGate 23ai essential for modern AI initiatives. Learn how to implement real-time vector replication for RAG systems, integrate with cloud platforms like GCP and Snowflake, and automate deployments using REST APIs and Python. Each chapter offers proven strategies to deliver measurable ROI while reducing operational risk. Whether you're upgrading from Classic GoldenGate , deploying your first cloud data pipeline, or building AI-ready data architectures, this book provides the strategic guidance and technical depth to succeed. With Bobby's signature direct approach, you'll avoid common pitfalls and implement best practices that scale with your business. What You Will Learn Master the microservices architecture and new capabilities of Oracle GoldenGate 23ai Implement secure, high-performance data replication across Oracle, PostgreSQL, and cloud databases Configure vector replication for AI and machine learning workloads, including RAG systems Design and build multi-master replication models with automatic conflict resolution Automate deployments and management using RESTful APIs and Python Optimize performance for sub-second replication lag in production environments Secure your replication environment with enterprise-grade features and compliance Upgrade from Classic to Microservices architecture with zero downtime Integrate with cloud platforms including OCI, GCP, AWS, and Azure Implement real-time data pipelines to BigQuery , Snowflake, and other cloud targets Navigate Oracle licensing models and optimize costs Who This Book Is For Database administrators, architects, and IT leaders working with Oracle GoldenGate —whether deploying for the first time, migrating from Classic architecture, or enabling AI-driven replication—will find actionable guidance on implementation, performance tuning, automation, and cloud integration. Covers unidirectional and multi-master replication and is packed with real-world use cases.

Overview of the latest features from the .NET 10 release, with emphasis on cloud-native development, streamlined deployments, and accelerated AI integration.

Relational SQL databases remain the winner when it comes to optimal and structured data storage and management. However, as data storage needs become more complex, especially with the rise of AI, NoSQL databases are making waves. NoSQL (Not-Only-SQL) is a powerful alternative, excelling at handling large volumes of unstructured, non-relational data and offering flexible data structures for ever-evolving schemas. In this session, we will explore the basics and core concepts of different types of NoSQL databases, such as document stores, key-value stores, and graph databases. We’ll discuss the ideal use cases and best practices for each store, their unique strengths, and how they compare to traditional relational databases in various scenarios. We will also cover practical examples, such as using graph databases for more efficient retrieval in AI applications, or leveraging document stores for storing and querying raw logs. By the end of the session, attendees will be equipped with the knowledge required to implement NoSQL data storage in Azure, as well as being able to make informed decisions about when and where to implement NoSQL databases. While NoSQL is not always the answer, choosing the right data store will always ensure scalability and performance for your data solutions.

Introduction to Language Models designed for non-technical people and new to the world of language models. Simple breakdown of how Language Models work. LLMs vs. SLMs. Comparison of strengths and weaknesses of Large vs. Small Language Models. Choosing the Right Model. Practical scenarios to help guide your choice between LLMs and SLMs. Live Demo with Azure