Uploaded June 2026 | Updated September 2026, 3 weeks ago
AI is changing how we interact with data, and you don’t need a complex setup to start building something powerful.
In this session, we’ll kick off a new SQL + AI community contest and show you exactly what it takes to participate and succeed. You’ll learn how modern AI patterns—from prompting and natural language interactions to embeddings, vector search, and retrieval-augmented generation (RAG)—connect back to SQL and real data.
We’ll focus on the practical side of building: how to take an idea, shape it with the right prompts, and turn it into something useful, whether that’s a simple interaction or a fully working intelligent app. Along the way, we’ll explore example scenarios, common patterns, and ways to think about solving real problems with SQL + AI.
This session is designed to get you ready. By the end, you’ll understand what the contest expects, how to approach it, and how to apply these concepts beyond the contest—in your own projects and real-world work!
📍This session is a part of a series. Learn more here developer.microsoft.com/en-us/reactor/series/S-1683
#MSFTReactor #learnconnectbuild #DataDays
Chapter markers:
0:00 Introduction and Welcome
0:56 Speaker Introductions
2:07 SQL and AI Promptathon Overview
4:44 Data Days Resources and Certification
7:10 Agenda for Today's Session
8:05 Why Participate in the Promptathon
9:56 How to Participate in the Contest
12:35 Contest Timeline and Deadlines
13:54 Judging Criteria
16:55 AI Features in SQL Server 2025
18:02 Why Use Vector Support in SQL
20:25 The Vector Data Type
22:38 Flexibility of AI Model Integration
23:38 AI Generate Embeddings and Chunks
26:05 Vector Distance and Search Explained
31:31 Data API Builder and Security
34:26 MCP Tool Server Capabilities
37:43 Summary of GA vs. Preview Features
39:28 Demo: Getting Started with GitHub CodeSpaces
43:58 Working with Data API Builder
46:44 Exploring MCP Tools
48:32 Local Development with Dev Containers
51:00 How to Submit Your Entry
55:51 Final Thoughts and Next Steps
[eventID:27322]
AI is changing how we interact with data, and you don’t need a complex setup to start building something powerful.
In this session, we’ll kick off a new SQL + AI community contest and show you exactly what it takes to participate and succeed. You’ll learn how modern AI patterns—from prompting and natural language interactions to embeddings, vector search, and retrieval-augmented generation (RAG)—connect back to SQL and real data.
We’ll focus on the practical side of building: how to take an idea, shape it with the right prompts, and turn it into something useful, whether that’s a simple interaction or a fully working intelligent app. Along the way, we’ll explore example scenarios, common patterns, and ways to think about solving real problems with SQL + AI.
This session is designed to get you ready. By the end, you’ll understand what the contest expects, how to approach it, and how to apply these concepts beyond the contest—in your own projects and real-world work!
📍This session is a part of a series. Learn more here developer.microsoft.com/en-us/reactor/series/S-1683
#MSFTReactor #learnconnectbuild #DataDays
Chapter markers:
0:00 Introduction and Welcome
0:56 Speaker Introductions
2:07 SQL and AI Promptathon Overview
4:44 Data Days Resources and Certification
7:10 Agenda for Today's Session
8:05 Why Participate in the Promptathon
9:56 How to Participate in the Contest
12:35 Contest Timeline and Deadlines
13:54 Judging Criteria
16:55 AI Features in SQL Server 2025
18:02 Why Use Vector Support in SQL
20:25 The Vector Data Type
22:38 Flexibility of AI Model Integration
23:38 AI Generate Embeddings and Chunks
26:05 Vector Distance and Search Explained
31:31 Data API Builder and Security
34:26 MCP Tool Server Capabilities
37:43 Summary of GA vs. Preview Features
39:28 Demo: Getting Started with GitHub CodeSpaces
43:58 Working with Data API Builder
46:44 Exploring MCP Tools
48:32 Local Development with Dev Containers
51:00 How to Submit Your Entry
55:51 Final Thoughts and Next Steps
[eventID:27322]
![Meet Your Claw: A Harness in Three Lines of C#
One call to AsHarnessAgent gives us the whole agentic loop. From there we add the first three abilities: a custom get_stock_price tool, the built-in web search for market news, and planning with a todo list plus plan and execute modes.
That is enough to turn a vague request like “review my watchlist and suggest something to add” into a tracked, step-by-step plan. We wire the agent to a Microsoft Foundry chat client, run it in the shared harness console, and set up the companion repo so everyone starts on the same SDK version.
📌 This event is part of a series. Learn more here: https://aka.ms/FMTA/series
🔗 Learn more by exploring the resource: https://aka.ms/AgentHarness
#MicrosoftReactor #LearnConnectBuild
[eventID:27514] Meet Your Claw: A Harness in Three Lines of C#](https://i.ytimg.com/vi/fJ1KCuhTQjU/mqdefault.jpg)
![Prove Your GitHub Copilot Skills in the flow of work
Join us to discover Microsoft Pro Badges, a new credential designed to recognize real-world achievements in the flow of work, without requiring separate tests. The first Pro Badges for GitHub Copilot, introduced in private preview at Microsoft Build, will be generally available at GitHub Universe.
In this session, youll see a live demo, get an inside look at the credential experience, and learn how to join the GitHub Copilot Verified Proficiency Insiders List for exclusive updates and early access opportunities.
https://aka.ms/AA132qba
As an added benefit, session attendees will receive an exclusive discount code for the GitHub Certified Agentic AI Developer (GH-600) Certification exam.
The discount code must be used to book the exam within 72 hours of the session, and the exam can then be scheduled for any date within the following 90 days. This offer is exclusively for session attendees and may not be shared or distributed externally.
00:00 Introduction to Microsoft Pro Badges
01:47 Why Verified Proficiency Matters
06:23 Proficiency Levels: Beginner to Expert
10:36 Beta Program, Surveys, and Learning Resources
19:21 Hands-On GitHub Skills Exercise Setup
22:10 Custom Instructions in GitHub Copilot
38:33 Building Reusable Agent Skills
50:30 Creating and Using Custom Agents
56:27 How Everyday Copilot Usage Earns Proficiency Credit
58:12 Certification Discount, GA Roadmap, and Closing Thoughts
[eventID:27475] Prove Your GitHub Copilot Skills in the flow of work](https://i.ytimg.com/vi/fUC3DEhJFGE/mqdefault.jpg)
![Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC)
This is the session everyone’s curious about: how DP-800 connects modern AI patterns directly to your SQL solutions. We’ll break down what the exam expects around embeddings, vectors, intelligent search, and retrieval augmented generation (RAG) and translate it into practical, buildable concepts.
📍This session is a part of a series. Learn more here: https://aka.ms/datadays/SQLAI
#MSFTReactor #learnconnectbuild #DataDays #GetCertified
[eventID:27371] Get Certified SQL+AI (DP-800): Bring AI to SQL with Embeddings, Search, and RAG (APAC)](https://i.ytimg.com/vi/fYTSBb6MNyM/mqdefault.jpg)

![Using OneLake shortcuts and mirroring for cross-workspace access
This session explains how OneLake shortcuts and Mirroring in Fabric can be used to connect and share data across workspaces without making extra copies, and what that means for access control. It covers what shortcuts are, how access is evaluated across the shortcut location and the target location. We then walk through what mirroring is and how OneLake data access roles can be used to control access to mirrored data, with shortcuts to mirrored data respecting the security defined at the source mirrored item.
📍https://aka.ms/DataSecurityOverview
📌 This event is a part of a series, learn more here: https://aka.ms/OneLakeSecureAccess/series
0:00 Introduction
2:31 What is OneLake?
6:09 Data integration options
10:44 Introduction to Shortcuts
13:37 Introduction to Mirroring
18:42 Shortcut transformations
20:45 AI shortcut transformations
24:55 Demo: Stadium operations scenario
28:44 Configuring Lakehouse shortcuts
41:35 Configuring Mirrored databases
47:20 Data security and OneLake access roles
55:53 Summary and recap
#microsoftreactor #learnconnectbuild
[eventID:27041] Using OneLake shortcuts and mirroring for cross-workspace access](https://i.ytimg.com/vi/g432kE4PEFg/mqdefault.jpg)

![The Quote-to-Cash Blind Spot: Secret Scanning for Enterprise Revenue Systems
Every CPQ, CLM, and billing rollout Ive run wires Salesforce or Vlocity to DocuSign, Stripe or Zuora-type billing, and ERP through API keys and OAuth tokens sitting in DataRaptors, Integration Procedures, and deployment scripts. AppSec teams usually classify that layer as business configuration, so it never gets scanned the way application code does.
Where credentials actually live in a quote-to-cash stack: middleware scripts, integration procedures, CI/CD for CPQ deployments. Why business systems teams dont think of themselves as a scanning target, and what that costs. How GitHub Advanced Securitys secret scanning, push protection, and custom patterns close the gap, even for teams that dont see themselves as developers.
A sample repo modeling a CPQ integration script with a hardcoded OAuth token and API key. Push protection blocking a commit in real time. A custom regex pattern built for an enterprise revenue-tool token format. The alert triage view a security lead would actually work from.
#MicrosoftReactor #LearnConnectBuild
[eventID:27521] The Quote-to-Cash Blind Spot: Secret Scanning for Enterprise Revenue Systems](https://i.ytimg.com/vi/gsYbbWaowEU/mqdefault.jpg)
![Data Days Lightning Talks: Short Talks. Big Ideas. Zero Fluff.
What happens when you give really smart people 5 minutes and say “go”?
We’re bringing together MVPs, community builders, and experts for a rapid-fire series of 5-minute talks on things they’re excited about right now. No long intros. No overthinking. Just idea after idea after idea. Zero time to get bored.
You’ll hear fresh takes, clever tips, and things you didn’t know you needed to learn across Microsoft Fabric, SQL, Power BI, and AI. It’s fast, it’s fun, and by the end you’ll have more ideas than you know what to do with.
📍This session is a part of a series. Learn more here: https://aka.ms/DataDays/Community
#MSFTReactor #learnconnectbuild #community
[eventID:27366] Data Days Lightning Talks: Short Talks. Big Ideas. Zero Fluff.](https://i.ytimg.com/vi/hJ0ySL7l0SQ/mqdefault.jpg)
![Azure Incident Retrospective: Network connectivity issues in West US
On 23 July 2026, the Azure platform experienced a service incident (Tracking ID: ZJV6-SGG) which caused network connectivity issues in West US. After publishing the Post Incident Review (PIR) we invited impacted customers and partners to join this Teams Live Event to be part of a discussion with our engineering leaders and experts – to learn more about the incident, how we responded, and what we learned. Customers who participated in the live event also had an opportunity to get any questions about the incident answered, through a Live Q&A moderated by our engineering subject matter experts. Stay informed during issues – configure Service Health alerts for notifications and invites: https://www.aka.ms/ASH-docs Learn from previous events – Health history in Azure Service Health shows impact to your services: https://www.aka.ms/ASH-portal Prepare for the unexpected – learn more about steps you can take to prepare for cloud incidents: https://www.aka.ms/IncidentReadiness
[eventID27559] Azure Incident Retrospective: Network connectivity issues in West US](https://i.ytimg.com/vi/hK13HLUGUzo/mqdefault.jpg)
![Certifícate SQL+AI (DP-800): Lleva la IA a SQL con Embeddings, Búsqueda y RAG
Esta es la sesión que todo el mundo quiere ver: cómo DP-800 conecta patrones modernos de IA directamente con tus soluciones SQL. Desglosaremos lo que el examen espera sobre embeddings, vectores, búsqueda inteligente y generación aumentada por recuperación (RAG), y lo traduciremos en conceptos prácticos y aplicables.
💡 Esta sesión es parte de una serie—aprende más: https://aka.ms/datadayslive/sp-y
2:38 Bienvenida y Código de Conducta
3:33 Presentación de los Ponentes
4:07 IA para SQL Server y Certificación DP-800
6:25 Data Days: Certificaciones, Recursos y Comunidad
11:11 Agenda de la Sesión y Objetivos
13:15 Introducción al DP-800 y SQL AI Developer
14:43 Diseño e Implementación de Embeddings en SQL Server
17:16 ¿Cuándo Usar Embeddings? Casos de Uso Reales
18:40 Estrategias de Chunking para IA
20:59 Pipeline de Generación y Almacenamiento de Embeddings
22:54 Mantenimiento y Actualización de Embeddings
28:09 Búsquedas Inteligentes en SQL Server
28:50 Full-Text Search vs Vector Search
32:41 Vectores, Distancias e Índices Vectoriales
36:06 Búsqueda Híbrida y RRF
40:27 Introducción a RAG en SQL Server
43:22 Pipeline Completo de Retrieval-Augmented Generation (RAG)
45:45 Recuperación de Contexto y Generación de Respuestas
48:25 Resumen: Embeddings, Vector Search y RAG
50:53 Demo: Configuración de Modelos Externos en SQL Server
53:16 Generación de Embeddings y Almacenamiento de Vectores
57:18 Índices Vectoriales y Búsquedas Semánticas
59:12 Demo de RAG con Azure OpenAI y SQL Server
1:01:06 Consejos para Aprobar la Certificación DP-800
1:02:05 Cierre y Próximos Eventos Data Days
1:02:46 Encuesta de Feedback y Despedida
[eventID:27406] Certifícate SQL+AI (DP-800): Lleva la IA a SQL con Embeddings, Búsqueda y RAG](https://i.ytimg.com/vi/hKdFuHCqIfE/mqdefault.jpg)
![Run and Scale AI Applications with Azure Kubernetes Service (AKS)
Building AI applications means running demanding workloads on the right hardware, at scale, without adding operational drag.
This session covers whats new in AKS for teams building and running AI apps and agents, and how the latest capabilities help you get more out of your infrastructure while keeping day-to-day operations manageable.
Youll learn how to: - Run AI and data-intensive workloads across a wider range of accelerators, with better visibility into how they perform and where you can tune them - Scale multi-service and agentic applications across clusters and fleets, with more efficient access to the compute you need - Automate upgrades, rollouts, and configuration across your estate with more control and less risk - Connect AKS to the broader Azure AI stack to move from model to production faster, with identity and security built in Whether you run a single cluster or a large fleet, youll leave with a clear picture of where AKS is headed for AI workloads and how to put these new capabilities to work.
🔗 https://aka.ms/AzureContainerAppsSandbox
📌 This event is a part of a series, learn more here: https://aka.ms/BCNA
[eventID:27395] Run and Scale AI Applications with Azure Kubernetes Service (AKS)](https://i.ytimg.com/vi/hjKN33bFU90/mqdefault.jpg)