Sr. Content Developer at Microsoft, working remotely in PA, TechBash conference organizer, former Microsoft MVP, Husband, Dad and Geek.
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SQL Server Database Migration using Azure Arc Explained | Data Exposed: MVP Edition

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From: Microsoft Developer
Duration: 16:10
Views: 164

Curious how Azure Arc can simplify SQL Server migrations? In this episode, we walk through the entire process and show how to move your database from on-prem to Azure with ease utilizing Azure Arc.

✅ Chapters:
0:00 Introduction
1:40 Demos

✅ Resources:
https://learn.microsoft.com/en-us/sql/sql-server/azure-arc/migration-overview?view=sql-server-ver17

About MVPs:
Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more: https://aka.ms/mvpprogram

📌 Let's connect:
Twitter: Anna Hoffman, https://twitter.com/AnalyticAnna
Twitter: AzureSQL, https://aka.ms/azuresqltw

🔴 To watch other MVP Edition episodes, see our playlist: https://aka.ms/dataexposedmvps
To check out even more Data Exposed episodes, see our playlist: 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 #SQLServer

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alvinashcraft
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EP275 Google Cloud Next 2026: The AI Earthquake, "SOC-home" Syndrome, and the Ragged Edge of Reality

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Guests:

  • No guests

 Topics:

  • So what have we seen at Google Cloud Next 2026?
  • Any closing loops for our 2023-2025 Cloud Next observations?
  • We are seeing that AI security is not an island ... what does that tell us about the difference between cloud and AI adoption?
  • What does  "ragged edge of AI adoption" mean for security?
  • Why do people want agents in their SOC? Do they know what gets better?
  • What are the most notable and fun announcements?
  • With patching speed, are we looking at something which can be overcome by engineering and courage? Or are we looking at something that is truly an impossibility? 

Resources:





Download audio: https://traffic.libsyn.com/secure/cloudsecuritypodcast/EP275_CloudSecPodcast_Next2026.mp3?dest-id=2641814
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alvinashcraft
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Random.Code() - Catching MIssed Return Values From Immutable Collections, Part 2

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From: Jason Bock
Duration: 56:28
Views: 10

In this episode, I'll actually do some coding based on the bike shedding I did in the last stream.

https://github.com/JasonBock/Transpire/issues/45

#dotnet #csharp #roslyn

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alvinashcraft
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1001: Managing Deadlines + Stress

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Scott and Wes tackle the all-too-real stress of crunch time as a web developer—how to handle looming deadlines, avoid sloppy shortcuts, and stay methodical when everything feels like it’s falling apart. They share practical tips on planning, communicating, cutting scope, asking for help, and preventing the chaos from happening again next time.

Show Notes

  • 00:00 Welcome to Syntax!
  • 02:53 The Importance of Planning and Organization.
  • 05:16 Slow Down, Take a Step Back.
  • 06:05 Identifying and Managing Tasks.
  • 08:35 The Role of Communication in Project Management.
  • 11:24 Cutting Features and Managing Expectations.
  • 14:52 The Balance Between Perfectionism and Productivity.
  • 16:42 Getting To Work.
  • 19:31 Updating Tools and Issues As You Go.
  • 22:34 Asking for Help.
  • 25:29 Prevention.
  • 30:22 Communicate Clearly.
  • 32:57 Brought to you by Sentry.io.

Hit us up on Socials!

Syntax: X Instagram Tiktok LinkedIn Threads

Wes: X Instagram Tiktok LinkedIn Threads

Scott: X Instagram Tiktok LinkedIn Threads

Randy: X Instagram YouTube Threads





Download audio: https://traffic.megaphone.fm/FSI6198109364.mp3
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alvinashcraft
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Hands-on webinar: Study and Learn agent in M365 Copilot

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Join us on Wednesday, May 13th @ 8am Pacific Time for an in-depth professional development webinar on the new Study & Learn agent in Microsoft 365 Copilot, which is about to become available for all students 13+ and educators. This will be a 60-minute hands-on webinar where the Product Management team will walk through the Study & Learn agent, which is purpose-built for learning. The experience goes beyond just answering questions and instead guiding students through concepts with step-by-step support, interactive activities like quizzes and flashcards, and conversations grounded in learning science. The Study & Learn agent will be globally available by the time of this webinar on May 13th, 2026.

We will also be providing links for professional development credit at this session. And don’t worry – we’ll be recording these and posting on our Microsoft Education YouTube channel so you’ll always to able to watch later or share with others.

What we will cover
 ✅ Introduce the new Study & Learn agent
 ✅Understand concept/question, FC and Quiz, Matching and FIB
 ✅IT admin motions for enabling Copilot Chat
 ✅Learning Activities for students hands-on
 ✅CPNBs and Study Guide slides and demo


📅 Date: Tuesday, May 13th
⏰ Time: 8:00 AM Pacific
🔗 Register: https://msit.events.teams.microsoft.com/event/msit.954c5c3b-cbc0-458d-9739-49e3e8b4baf7@72f988bf-86f1-41af-91ab-2d7cd011db47 

 

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Your AI agents are now employees. It’s time to treat them that way. Meet Loop.

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Guest Author: Femke Cornelissen ✨ Chief Transformation Officer - Wartell

Meet Loop.

There’s a quiet shift happening in enterprise AI, and if you’re leading transformation, it deserves your attention. 

Microsoft has introduced new Defender capabilities within its Agent 365 tooling gateway, currently in preview. At first glance, it may look like just another security update. It isn’t. It signals a fundamental change in how organizations need to think about AI agents. For the past year, most organizations have onboarded AI agents the same way they onboard software tools. Deploy them, integrate them, and monitor them lightly. That model no longer holds.

Today’s agents act autonomously. They access sensitive data. They interact across systems. They make decisions that once required human approval. They no longer behave like tools. They behave like employees. The new Defender functionality introduces something enterprises have been missing. Real-time behavioral oversight for AI agents.

Every action an agent attempts is evaluated through webhooks. Behavior is analyzed for anomalies in near real time. Risky or malicious actions are blocked before execution. Activity can be investigated with security level visibility. This is not just monitoring. It is active governance at the point of action.

The gap between having AI agents and operating on AI agents has always been trust. And trust requires control. If you cannot see what agents are doing, you cannot govern them. If you cannot govern them, you cannot scale them. If you cannot scale them, your AI strategy stalls at the pilot phase. This layer of visibility, governance, and protection is what closes that gap.

If you are a CTO, CIO, or transformation leader, three questions matter right now. Who owns agent behavior in your organization? Do you know what each agent is allowed to do, and what it actually did yesterday? Is agent governance embedded in your security posture, or still treated as a separate conversation?

The next generation of high-performing organizations will not just deploy AI agents. They will run on them. That only works if those agents are visible, governed, and protected. This is the real foundation. Not just capability, but control. Because at scale, AI is not just about what agents can do. It is about whether you can trust them to do it.

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