Uploaded August 2026 | Updated September 2026, 2 weeks ago
Dataflows Gen2 in Fabric Data Factory provides a low-code data transformation capability in Fabric that accelerates your time to production. The Dataflows Product Team will share future product plans and provide deep dive insights into how to take advantage of Dataflows Gen2 in Fabric.
Series Ask the Experts Fabric Edition, https://aka.ms/ATE/Fabric
#MSFTReactor #DataIntegration #DataflowGen2 #AI Ready data
[eventid: 27315]
Dataflows Gen2 in Fabric Data Factory provides a low-code data transformation capability in Fabric that accelerates your time to production. The Dataflows Product Team will share future product plans and provide deep dive insights into how to take advantage of Dataflows Gen2 in Fabric.
Series Ask the Experts Fabric Edition, https://aka.ms/ATE/Fabric
#MSFTReactor #DataIntegration #DataflowGen2 #AI Ready data
[eventid: 27315]

![Azure Decoded: Build awareness of AI app & agent development on Foundry with Claude Models
What youll learn
- Understand what Microsoft Foundry provides (model access, orchestration, evaluation)
- Recognize the role of Claude frontier models for reasoning, planning, and agent workflows
- Identify how AI apps differ from traditional apps (goal-driven, multi-step, tool-using systems)
- Explore real-world scenarios: copilots, agents, automation workflows
Use Foundry to:
- Deploy models (Claude + others)
- Access APIs and endpoints
Learn core concepts:
- Prompt design for apps vs chat
- Context management and grounding
- Tool invocation patterns (APIs, data, services)
Build simple AI app components (chat, summarization, classification)
What youll learn:
- Identify and describe AI app or agent use cases that can be implemented using Azure Foundry and Claude.
- Create a working AI app that calls a Claude model via Foundry APIs and returns structured output.
Who should attend:
Developers, solution architects, and technical professionals who want to:
Build Intelligent Applications with Foundry + Claude
- Develop skills to select, integrate, and deploy Claude models via Azure Foundry for real-world AI solutions.
Use Agentic Workflows & Automation
- Design and orchestrate multi-step AI workflows and agents that execute tasks across systems and data sources
🔗 Dig in: https://aiskillsnavigator.microsoft.com/
📌 This session is a part of a series - learn more here: https://aka.ms/AzureDecoded/reactor
Chapters:
0:00 Introduction
0:52 Welcome and Introduction to Bob Tickleman
2:35 Microsofts Partnership with OpenAI and Anthropic
4:08 Microsoft 365 Copilot Overview and Work IQ
6:06 Using Claude Models in M365 Copilot Chat
7:50 Restrictions and Sovereign Clouds
8:40 Differences Between Agent Builder, Copilot Studio, and Azure Foundry
11:37 Prerequisites for Azure Foundry (EA/MCA-E, RBAC, Regions)
13:33 Security and Data Governance
15:44 Demonstrating the Model Council Feature
18:44 Using Agents in Chat
21:56 Building Agents in Copilot Studio
23:05 How to Choose Between Models
26:52 Creating Agentic Workflows
30:30 Evolution of AI Services at Microsoft
33:04 Azure Resource Hierarchy and Setup
36:46 Accessing and Navigating Azure Foundry
40:11 Exploring the Foundry Build Interface
41:26 Comparing Models and Metric Evaluations
43:34 Deploying Models and Managing Quotas
47:44 Connecting via API Keys and SDKs
51:49 Summary and Closing
#MSFTReactor #learnconnectbuild
[eventID:27179] Azure Decoded: Build awareness of AI app & agent development on Foundry with Claude Models](https://i.ytimg.com/vi/6yTcHlOLEwk/mqdefault.jpg)
![Build with AI: GitHub Copilot SDK로 구축하는 Agentic 워크플로우
세션 소개
AI는 단순히 코드 작성을 돕는 것을 넘어, 복잡한 작업을 자동화하고 워크플로우를 실행하는 역할까지 수행할 수 있습니다.
이번 세션에서는 GitHub Copilot SDK를 활용해 실제 에이전트 기반 워크플로우를 구축하는 방법을 실습과 함께 살펴봅니다.
이슈 관리부터 코드 개선까지 반복적인 개발 작업을 AI가 자동화하고, 다양한 도구와 컨텍스트를 연결해 여러 단계의 작업을 수행하는 과정을 확인할 수 있습니다.
단순한 코드 작성을 넘어, 작업 중심의 지능형 워크플로우를 설계하는 방법을 소개합니다.
이런 내용을 다룹니다
- GitHub Copilot SDK를 활용한 Agentic 워크플로우 구축 방법
- 에이전트의 계획 수립, 추론 및 다단계 작업 실행 방식
- 에이전트와 도구, 서비스 및 외부 시스템을 연계하는 방법
- 반복적인 개발 작업을 자동화하는 지능형 워크플로우 설계 방법
주요 기술
- GitHub Copilot SDK
- Agent Runtime (계획 수립 및 다단계 작업 실행)
- Model Context Protocol (MCP)
- Tool Calling 및 통합
- Workflow Orchestration
추천 대상
- 에이전트 기반 솔루션 개발에 관심 있는 개발자
- GitHub Copilot SDK의 기능을 활용해 보고 싶은 엔지니어
- 지능형 워크플로우를 구축하는 플랫폼 및 개발 도구 담당자
- AI 기반 코드 작성을 넘어 개발 워크플로우 자동화를 구현하고 싶은 개발자
발표자
업데이트 예정
[eventID:27480] Build with AI: GitHub Copilot SDK로 구축하는 Agentic 워크플로우](https://i.ytimg.com/vi/7-4gcOBOUl4/mqdefault.jpg)


![Code with AI: GitHub Copilot for AI-Native Coding Workflows
AI is changing how developers build software, making coding more collaborative, iterative, and efficient than ever before.
In this session, youll experience the new AI-native coding workflow powered by GitHub Copilot, from managing issues and generating code to reviewing changes and shipping pull requests. Through a live demonstration, youll see how developers can work seamlessly alongside AI to accelerate everyday development tasks and streamline the path from idea to implementation.
You Will Learn
• How AI-native coding workflows are transforming software development
• How to use GitHub Copilot across issue management, coding, and pull requests
• How AI can accelerate code generation, iteration, and development workflows
• Best practices for collaborating effectively with AI throughout the coding process
Technologies Used
• GitHub Copilot App
• GitHub Copilot (Chat & CLI)
• AI-native coding workflows
• Cloud and local sandboxes
• AI-assisted code generation and iteration
Who Should Attend
• Developers looking to adopt AI-native development practices
• Engineers using GitHub Copilot in their daily workflows
• Software builders seeking to accelerate development with AI
Anyone interested in modern AI-powered coding experiences
[eventID:27463] Code with AI: GitHub Copilot for AI-Native Coding Workflows](https://i.ytimg.com/vi/8AtIg27DIwA/mqdefault.jpg)
![Build Digital Recap (Japan)
Microsoft Build の“今”を、ゆるっとキャッチアップしませんか? 現地参加メンバーに加え、Microsoft Evangelist が集まり、Build の会場の雰囲気や気になる発表について、ざっくばらんに語ります。 「結局これ何がすごいの?」というポイントまで含めて、ライトに楽しめる1時間。コーヒー片手にぜひご参加ください。
00:00:15 - オープニングと番組紹介
00:01:07 - Build とは?開発者向けイベントの概要
00:03:04 - サンフランシスコ会場の雰囲気と現地レポート
00:07:33 - 会場展示を紹介:F1マシン、デザイン、配信スタジオ
00:10:40 - 注目セッション紹介:マーク氏のデータセンター解説
00:12:25 - キーノート総まとめ:今年のBuildの全体像
00:15:46 - AI時代の重要テーマ:性能、トークンコスト、最適化
00:17:59 - ローカルAIとNPU:PCでAIを動かす流れ
00:22:59 - データセンター戦略:建設、水冷却、効率化の話
00:25:16 - インフラ更新:Maia 200 と Cobalt 200
00:29:10 - モデル最新情報:Claude、FLUX、MAI の発表
00:30:22 - Microsoft Discovery と業界別AI活用
00:31:39 - 量子コンピューティングの最新アップデート
00:33:34 - AIエージェント開発の全体像と Microsoft の戦略
00:35:28 - Work IQ、Fabric IQ、Foundry IQ、Web IQ を整理
00:37:44 - Foundry と MAI Playground の注目デモ
00:42:53 - Foundry新機能:Hosted Agent、評価、トレーシング
00:44:50 - Sandbox と Hosted Environment のアップデート
00:46:10 - Azure Container Apps、AKS、Azure Container Linux の進化
00:50:50 - HorizonDB が面白い:SQL と AI をつなぐ新機能
00:53:21 - GitHub Copilot Modernization と日本企業の存在感
00:58:05 - 6月24日開催「Best of Microsoft Recap Day Japan 2026」案内
00:59:39 - エンディング:登壇者コメントと締め
📍 This session is a part of a series - learn more here: https://aka.ms/Build2026/digital-recaps
[eventID:27292] Build Digital Recap (Japan)](https://i.ytimg.com/vi/8MFC-h3WgA0/mqdefault.jpg)
![Connecting Agents to Your Productivity Data with Work IQ
Work IQ brings real workplace context into your agents. In this session, we’ll show how to connect agents to Microsoft 365 data such as emails, meetings, documents, and collaboration signals, and how that context is surfaced in an agent-ready way.
You’ll learn practical patterns for grounding agents in how work actually happens, enabling more relevant, personalized, and context-aware interactions across your organization.
🔗 Resources: https://aka.ms/iq-series
📌 This event is a part of a series, learn more here: https://aka.ms/microsoftiqlive
#MSFTReactor #learnconnectbuild #foundryiq #serverless #knowledgebases #agentdevelopment #retrieval #datagrounding #azureaifoundry #enterpriseknowledge
[eventID:27443] Connecting Agents to Your Productivity Data with Work IQ](https://i.ytimg.com/vi/8RpTv29YkOc/mqdefault.jpg)

![Get Certified: (DP-700) Fabric Data Engineer Essentials (US/EMEA)
Thinking about tackling DP-700? Whether you are building on Power BI experience, working in data engineering today, or exploring Microsoft Fabric for the first time, this session will help you get your bearings and move forward with confidence.
We will break down the core areas of the DP-700 exam and what they mean in practice, including working with data pipelines, transformation, orchestration, storage, and managing data solutions in Microsoft Fabric. You will see how these concepts connect and what skills actually matter.
You will also walk away with a practical approach to studying, including how to prioritize your time and where to focus your effort. If you want to dig deeper, we will point you to on-demand sessions by topic so you can continue building your skills at your own pace.
🔗 Resources to prepare: https://aka.ms/dp700/prepare
📍 This session is a part of a series. Learn more here: https://aka.ms/datadayslive/cert-y
Chapters:
0:00 Introduction
0:57 Welcome and Introductions
3:37 What are Microsoft Data Days?
6:21 Influencing the future of Fabric and SQL
7:19 Upcoming Data Days sessions
8:06 Meet the moderators
9:13 DP-700 preparation resources
9:54 Exam overview and core concepts
13:18 Implementing and managing analytics solutions
13:38 Data ingestion in Microsoft Fabric
15:44 Data storage and OneLake
18:07 Data integration and orchestration
23:17 Batch data stores: Lakehouse, Warehouse, SQL DB
24:50 Choosing the right ingestion/transformation tools
32:21 Real-time intelligence
37:04 Monitoring and optimizing solutions
45:43 How to prepare for the DP-700 exam
52:16 Q&A: Hands-on lab experience
55:38 Closing and certification reminders
#MSFTReactor #learnconnectbuild #DataDays #GetCertified
[eventID:27215] Get Certified: (DP-700) Fabric Data Engineer Essentials (US/EMEA)](https://i.ytimg.com/vi/8euVkXXNutY/mqdefault.jpg)
