YouTube kanál Microsoft Developer je zaměřen na vývojáře a technické profesionály. Obsah se soustředí na tipy, návody a tutoriály, produktové novinky a oznámení, živé eventy, technické pořady, inspirativní příběhy a deep‑dives a další komunitní obsah.
Security and performance are top of mind for every data engineer. In this episode, Santhosh Kumar Ravindran joins Anna Hoffman to demonstrate how to securely connect Spark to on-premises and private data sources using Managed Private Endpoints using private link service connectivity and enforce inbound and outbound restrictions. Plus, learn how to optimize costs with Autoscale billing and unlock up to 4x faster performance with the Native Execution Engine all without any code changes.
0:00 Introduction
3:20 Security for Fabric Data Engineering
7:30 Demo
11:00 Autoscale Billing for Spark - Flexible, Pay as you go
12:55 Acceleration Without Additional Cost with Native Engine
✅ Resources:
Overview of Managed Private Endpoints for Fabric: https://learn.microsoft.com/en-us/fabric/security/security-workspace-level-private-links-overview
Native Execution Engine for Fabric Data Engineering: https://learn.microsoft.com/en-us/fabric/data-engineering/native-execution-engine-overview?tabs=sparksql
Autoscale Billing for Spark in Microsoft Fabric: https://learn.microsoft.com/en-us/fabric/data-engineering/autoscale-billing-for-spark-overview
📌 Let's connect:
Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna
Twitter - AzureSQL, https://aka.ms/azuresqltw
🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt
🔔 Subscribe to our channels for even more SQL tips:
Microsoft Azure SQL: https://aka.ms/msazuresqlyt
Microsoft SQL Server: https://aka.ms/mssqlserveryt
Microsoft Developer: https://aka.ms/microsoftdeveloperyt
#AzureSQL #SQL #LearnSQL
In this episode of the Azure Essentials Show, Thomas and Darren from Microsoft Azure discuss the growing importance of data security and governance as organizations generate increasing volumes of data across multiple platforms and clouds. Darren introduces Microsoft Purview as a unified solution for securing, governing, and managing data, and provides a walkthrough of its Unified Catalog, highlighting how it simplifies data discovery, access, and compliance for business users. The conversation also covers best practices and resources for implementing robust data governance strategies.
This video will also help you …
- Understand why traditional infrastructure security is not enough and why securing data itself is now critical for organizations
- Learn how Microsoft Purview unifies security, governance, and compliance, and see a demo of the Unified Catalog for easy data discovery and access management
- Discover resources and next steps for exploring best practices and architectures for data governance using Microsoft Purview
Resources
- Get started with Purview Data Governance https://aka.ms/purviewdatagovernance
- Learn more about the Microsoft Purview Unified Catalog https://learn.microsoft.com/purview/unified-catalog
- Learn more about Microsoft Purview Data Security https://learn.microsoft.com/purview/purview-security
- Explore more Essential resources! https://azure.com/AzureEssentials
Related episodes
- Armchair Architects: Governance Strategies for AI Agents https://aka.ms/AzEssentials/235
- Watch more episodes of the Azure Essentials Show https://aka.ms/AzureEssentialsShow
Connect
- Thomas Maurer https://www.linkedin.com/in/thomasmaurer2/
- Darren Portillo https://www.linkedin.com/in/darren-portillo/
Chapters
0:00 In this episode
0:23 Introduction
1:06 Why Data Security and Governance Matter
2:09 Built-in security and governance isn't enough
3:10 What is Microsoft Purview?
3:55 Purview demo
7:16 Next Steps and Resources
Hans Obma discusses how he took AI and used it to help him market his film.
Full video at https://aka.ms/CAIK-HansObma
All Cozy AI episodes at https://aka.ms/CAIK-YTPlaylist
Today, we’re excited to launch Budget Bytes, a new series for builders who want to create real, AI-powered apps using Azure SQL Database, without expensive infrastructure or guesswork.
🌟 Get started for FREE: https://aka.ms/budgetbytes/freeoffer 🌟
Budget Bytes is built for budget-conscious developers who care about shipping, not just experimenting. Each episode walks through practical patterns for grounding AI in your own data with Azure SQL Database, building full-stack apps with Copilot, exploring agentic RAG architectures, and keeping costs shockingly low
You’ll see step-by-step demos, real architectures, and honest cost math, so you know exactly what you can build today and how to use AI responsibly.
Here’s what’s coming up:
✅ Ground AI in your own data using Azure Foundry + Azure SQL Database.
✅ Build and run a full web app with Copilot + Azure SQL DB, all for under $10.
✅ See an end-to-end Agentic RAG sample using Azure SQL, Azure Container Apps, and Static Web Apps.
✅ Learn how to build AI agents with Copilot Studio + Azure SQL
✅A fireside chat with leaders on Azure SQL Database affordability, AI, and the future of building modern applications.
Whether you’re a student, a startup, a small business, or a seasoned developer, Budget Bytes is your guide to building smarter apps with Azure SQL Database, adding AI with confidence, and staying within budget.
🚀Get started for FREE: https://aka.ms/budgetbytes/freeoffer
🔔 Subscribe now so you don't miss an episode!
At Ignite 2025 we announced the support for vector indexing in the SQL Server engine, using the DiskANN algorithm that is used all across Azure Databases. In this episode, we'll see how to create and use the vector index, the current limitation existing in Public Preview, and some cool solutions that can be created thanks to the fact that AI, Vectors and Data are all in one place: the MSSQL engine.
0:00 Introduction
0:56 Demo
9:36 Demo
14:35 Resources
15:25 Samples
✅Resources:
https://aka.ms/sqlai
https://ai.awesome.azuresql.dev/
📌 Let's connect:
Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna
Twitter - AzureSQL, https://aka.ms/azuresqltw
🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt
🔔 Subscribe to our channels for even more SQL tips:
Microsoft Azure SQL: https://aka.ms/msazuresqlyt
Microsoft SQL Server: https://aka.ms/mssqlserveryt
Microsoft Developer: https://aka.ms/microsoftdeveloperyt
#AzureSQL #SQL #LearnSQL
Welcome to Cozy AI Kitchen, where we explore how AI can empower creators! In this episode, actor, producer, and director Hans Obma (known for Better Call Saul, WandaVision, and more) shares how he uses AI tools like ChatGPT to learn languages, prepare for interviews, and promote his projects—including his Welsh-language film.
Full episode at https://aka.ms/CAIK-HansObma
Protecting Personally Identifiable Information (PII) is critical for compliance and user trust. In this video, we introduce Microsoft’s PII Redaction service and show you how it helps detect and redact sensitive data across text, documents, and conversational transcripts. #AzureAI #PIIRedaction #DataPrivacy #AICompliance #MicrosoftDeveloper #AzureLanguage #GDPR #HIPAA #AIForDevelopers #CloudSecurity
What you’ll learn:
• Why PII protection matters and the cost of data breaches
• How Azure AI Language detects and redacts PII in text, documents, and speech transcripts
• Key customization options for entity types, masking styles, and exclusions
• Real-world use cases for finance, healthcare, and AI-driven workflows
• How to try the service in Azure AI Foundry Playground
Resources & Links:
🔗Identity Theft Resource Center: https://www.idtheftcenter.org/wp-content/uploads/2024/01/ITRC_2023-Annual-Data-Breach-Report.pdf
🔗IBM Security Report: https://www.ibm.com/reports/data-breach
🔍 Explore Azure AI Language: https://aka.ms/azureai-language
🚀 Try PII Redaction in AI Foundry: https://ai.azure.com/
📚 Learn more about PII in our Documentation: https://aka.ms/pii-docs-overview
Chapter Markers:
00:00 - Introduction: Why PII Protection Matters
00:10 - Industry Stats & Compliance Challenges
00:58 - Meet Azure AI Language PII Redaction
01:12 - Demo: Detecting PII in Text
01:42 - Customization: Entity Types & Masking Styles
02:16 - Advanced Features: Exclusions & Synonyms
02:40 - Conversational & Document PII Overview
03:30 - Key Use Cases
04:01 - Wrap-Up & Try It Yourself
#AzureAI #PIIRedaction #DataPrivacy #AICompliance #MicrosoftDeveloper #AzureLanguage #GDPR #HIPAA #AIForDevelopers #CloudSecurity
Welcome to Cozy AI Kitchen, where we explore how AI can empower creators! In this episode, actor, producer, and director Hans Obma (known for Better Call Saul, WandaVision, and more) shares how he uses AI tools like ChatGPT to learn languages, prepare for interviews, and promote his projects—including his Welsh-language film.
Hans dives into:
- How AI helped him practice Welsh before a live TV interview
- Using AI to research film festivals and build relationships
- Why empathy and clear communication matter—even with AI
- Practical advice for actors navigating the AI era
If you’re an actor, creator, or just curious about AI in entertainment, this episode is packed with insights you won’t want to miss.
What You’ll Learn
✅ How actors can leverage AI for language learning and interview prep
✅ Practical ways AI can support film promotion and festival submissions
✅ Why context matters when prompting AI for better results
✅ How empathy and Dale Carnegie principles apply to AI-assisted communication
✅ Tips for discovering and amplifying your unique strengths in a competitive industry
Chapters
00:00 - How Actors Can Use AI Today
00:00:17 - AI’s Role in Creativity: Positive and Negative Perceptions
00:00:30 - Meet Hans Obma: Actor, Producer, Director
00:01:04 - The Welsh Language Journey
00:02:00 - Learning Languages as an Actor: Self-Reliance vs. Entourage
00:03:19 - Practicing Welsh with ChatGPT Before a Live Interview
00:05:03 - Overcoming Fear of AI and Using It Strategically
00:06:02 - Submitting to Film Festivals with AI Research
00:07:17 - The Power of Context in AI Prompts
00:08:51 - Empathy, Relationships, and Dale Carnegie Principles with AI
00:11:03 - Advice for Aspiring and Experienced Actors in the AI Era
00:12:36 - Closing Thoughts and Where to Follow Hans’ Work
Speakers
Hans Obma – Actor, Producer, Director
Follow Hans: https://instagram.com/hansobma
IMDB: https://www.imdb.com/name/nm3155819/
Host: John – Cozy AI Kitchen
Links & Resources
🚀 Try Azure for free: https://aka.ms/AzureFreeTrialYT
📚 Learn more about AI tools for creators: https://learn.microsoft.com/ai
🎥 Watch all Cozy AI Kitchen episodes: https://aka.ms/CAIK-YTPlaylist
🔔 Subscribe for more episodes on AI, creativity, and tech!
Hashtags
#CozyAIKitchen #AIForActors #ArtificialIntelligence #ChatGPT #FilmIndustry #ActorLife #BetterCallSaul #WandaVision #MicrosoftAI #AzureAI #MachineLearning #EntertainmentTech #FilmFestival #LanguageLearning #CreatorTools
In this episode, we’ll deep dive into Drasi, a new data processing system that simplifies detecting critical events within complex infrastructures and taking immediate action tuned to business objectives. Developers and software architects can leverage its capabilities across event-driven scenarios, whether working on Internet of Things (IoT) integrations, enhancing security protocols, or managing sophisticated applications.
✅ Resources:
Drasi https://drasi.io/
Source code https://github.com/drasi-project
📌 Let's connect:
Aman Singh | https://www.linkedin.com/in/amansinghoriginal
Daniel Gerlag | https://www.linkedin.com/in/daniel-gerlag
Jorge Arteiro | https://www.linkedin.com/in/jorgearteiro
Subscribe to the Open at Microsoft: https://aka.ms/OpenAtMicrosoft
Open at Microsoft Playlist: https://aka.ms/OpenAtMicrosoftPlaylist
📝Submit Your OSS Project for Open at Microsoft https://aka.ms/OpenAtMsCFP
New episode on Tuesdays!
Let's dive into the major updates and innovations that came to Microsoft Fabric Data Warehousing in 2025, including features like Data Clustering, IDENTITY columns, MERGE, Migration Assistant, Security Features, and more!
0:00 Introduction
2:38 Fabric Data Warehouse in 2025
3:49 Data Clustering
4:50 IDENTITY columns
5:54 MERGE
6:54 Migration Assistant
8:05 Security Features
9:45 What's next
✅ Resources:
Fabric Roadmap, Administration, Governance and Security: http://aka.ms/fabricroadmap
📌 Let's connect:
Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna
Twitter - AzureSQL, https://aka.ms/azuresqltw
🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt
🔔 Subscribe to our channels for even more SQL tips:
Microsoft Azure SQL: https://aka.ms/msazuresqlyt
Microsoft SQL Server: https://aka.ms/mssqlserveryt
Microsoft Developer: https://aka.ms/microsoftdeveloperyt
#AzureSQL #SQL #LearnSQL
This episode of the Azure Essentials Show brings the Armchair Architects—Uli, Eric, and David—together to tackle multi-agent architecture in the enterprise. You'll get practical insights into orchestrating AI agents, preventing data leaks, managing costs, and choosing the right design patterns. The trio highlight real-world strategies, emerging tools, and actionable frameworks to help you build secure, scalable agent systems.
Resources
- Azure Architecture Center https://learn.microsoft.com/azure/architecture/
- AutoGen https://www.microsoft.com/research/project/autogen
- Introduction to Semantic Kernel https://learn.microsoft.com/semantic-kernel/overview/
- Microsoft Purview https://learn.microsoft.com/purview/
- Microsoft Fabric documentation https://learn.microsoft.com/fabric/
- Agent Framework documentation https://learn.microsoft.com/agent-framework/
Three important things you will learn
- How to architect and orchestrate multiple AI agents, including key patterns like specialist delegation, sequential workflows, and parallel agent reasoning.
- The importance of data leak prevention, security policies, and governance when deploying agents in enterprise environments.
- Practical considerations for agent design, such as cost management, model selection, and leveraging message-based systems for scalability and reliability.
Recommended Next Steps
- Review and apply message-based architectural patterns (such as those used in message brokers) as a foundation for agent orchestration.
- Explore open-source frameworks like Microsoft Research Autogen and Semantic Kernel to understand and experiment with multi-agent patterns.
- Assess and implement data governance and security controls, including data leak prevention, for agent interactions within your organization.
Related Episodes
- Watch more episodes of Armchair Architects https://aka.ms/ArmchairArchitects
- Watch more episodes of the Azure Essentials Show https://aka.ms/AzureEssentialsShow
Connect
- David Blank-Edelman https://www.linkedin.com/in/dnblankedelman/
- Uli Homann https://www.linkedin.com/in/ulrichhomann/
- Eric Charran https://www.linkedin.com/in/ericcharran/
Chapters
00:00 Hey! Good news!
00:29 Welcome architects
01:17 Top things to consider
02:30 Data Leak Prevention (DLP)
04:21 Focused agents
05:45 Agent-to-agent conversations
07:04 Agents as employees
08:36 Cost considerations
09:00 Pattern considerations
11:15 Regression testing
12:12 Parallel pattern
13:38 Sequential pattern
13:51 Specialist pattern
15:05 Search engine example
15:35 Shopping agent example
15:55 Time as a factor
16:30 Negotiation and consensus pattern
17:43 Reviewer pattern
18:58 Message-based patterns
20:40 Check out AutoGen
22:07 PII Trust boundaries
KC Lemson discusses how she created a game - called Bedlam - and then made that game available online at https://www.bedlamgame.com/
Go to https://aka.ms/100Years for more stories