Channel 9

IoT is almost always associated with NoSQL database. This is quite understandable as its flexibility and specialization are great for ingesting IoT data. But what if that flexibility and performance are also available in Azure SQL? That would make Azure SQL a perfect target for IoT data as along flexibility and performance you have security, manageability, analytics, and scalability. In this episode, Davide Mauri discusses all this and more - and shows you why Azure SQL is a great option for IoT and HTAP.[01:14] IoT architecture[02:15] Features[02:35] Columnstore[02:42] Rowstore[02:55] Read-scale out[03:40] Memory optimized (lock free) structures[04:02] JSON support[06:50] Create your own Lambda/Kappa architecture in Azure[09:00] What you can do with the data at this scaleAdditional Resources:Azure IoT reference architectureStreaming At Scale - Azure SQLIngesting 10K events/sec VideoJSON Performance in Azure SQL

Coyote is a set of .NET libraries and tools designed to help detect potential problems in your asynchronous code. In this episode, Chris Lovett returns to show us how to use actors for concurrency with Actor. [00:58] - Can you test Coyote with Coyote?[02:52] - Actors as an option for concurrent programming[07:40] - Implementing actors with Coyote[16:05] - How does the Coyote engine handle tasks vs actors?[17:03] - Can Coyote integrate with other actor models?[19:00] - Testing with different scheduling strategies[28:46] - What are the performance trade-offs? Useful Links Coyote HomepageCoyote GitHub.NET Threading

It's the golden era for computer vision, AI, and machine learning – now is a great time to extract value from videos to impact science, society, and business! Microsoft Rocket's goal is to democratize video analytics: build a system for real-time, low-cost, and private analysis of live videos. In this show, we will show how Microsoft's Live Video Analytics on IoT Edge platform and Microsoft Rocket's containers can be used in tandem for building highly efficient and accurate, real-world live video analytics applications, such as object detection & counting (e.g., cars driving through an intersection), and alerting on objects of interest (e.g., when a customer enters a store). Learn more about Microsoft Rocket integration with Live Video Analytics at https://aka.ms/iotshow/rocket

Azure Monitor for SAP Solutions is an Azure-native monitoring solution for customers running their SAP landscapes on Azure. Syeda Persia Aziz joins Scott Hanselman to show how it collects and consolidates telemetry data from Azure infrastructure and databases at one central location, regardless of the underlying infrastructure (Azure Virtual Machines, Azure Large Instances, or both). You can then use this data to correlate telemetry visually between different components for faster troubleshooting. [0:00:00]- Intro[0:00:36]- Episode start[0:02:14]- Architectural design discussion[0:03:04]- Demo/tour[0:09:05]- Q&A[0:11:33]- Episode wrap-up Azure monitor for SAP solutions (preview)Azure monitor for SAP solutions providers (preview)Azure Monitor for SAP Solutions is now in previewAzure Monitor overviewQuickStart: Azure Monitor for SAP SolutionsGitHub: Azure/AzureMonitorForSAPSolutionsCreate your Azure free account today

Parallel run in Azure Machine Learning enables big data processing in distributed manner. In this episode, you will find out more about Azure Machine Learning dataset; how it can help manage your data in machine learning workflow; and how to use dataset in parallel run to accelerate your big data processing. [02:00] Demo Start Learn More: Azure Machine Learning Datasets Parallel Run Sample NotebookCreate a Free account (Azure) Deep Learning vs. Machine Learning Get Started with Machine Learning Don't miss new episodes, subscribe to the AI Show

One of the major benefits of Azure SQL Database is that the Azure platform provides additional protection for your database against SQL Injection attacks and Data Exfiltration, amongst other threats. Join Joey D'Antoni as he shows you how to configure Advanced Threat Protection, and some of the protections it offers. [01:37] What is Advanced Threat Protection?[02:46] Microsoft Azure Configuration[03:36] Advanced Threat Protection types[04:48] Enable auditing[05:19] Tracking alertsAbout Joey D'Antoni:Joseph D'Antoni is a Principal Consultant at Denny Cherry and Associates Consulting. He is recognized as a VMWare vExpert and a Microsoft Data Platform MVP, and has over 20 years of experience working in both Fortune 500 and smaller firms. He has worked extensively on database platforms and cloud technologies and has specific expertise in performance tuning, infrastructure, and disaster recovery.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

Restore and deploy a complete Azure infrastructure using GitLab's CI/CD pipelines. Jump To: [00:38] What is GitLab?[02:18] Demo start[03:24] Pipelines overview[04:55] Build definitions[05:54] Runners[07:36] Pipeline output[09:00] ResultsLearn More: About GitLabGitLab DocsRunning GitLab on Microsoft AzureAzure DevOps DocsGitHub ActionsCreate a Free Azure DevOps Account

Coyote is a set of .NET libraries and tools designed to help detect potential problems in your asynchronous code. In the episode, Rich chat with Chris Lovett about the issues developers face with writing asynchronous code and how Coyote can with discovering those hard to find issues. [00:44] - What is Coyote[02:22] - What's hard with testing async code?[07:45] - Visualizing async code flow[10:57] - Coyote TPL demo[17:20] - Detecting deadlock demo[26:42] - Next steps with Coyote Useful Links Coyote HomepageCoyote on GitHub.NET Threading

In the next episode of Source Code, we meet with the founders of Uncrowd, Richard Hammond & Rocky Howard. They speak about what it's like to be first time founders relatively late in life. We also tackle some tough topics such as dealing with mental health issues as a founder and how to keep going when things get tough.Website: www.uncrowd.ukTwitter handle: @UncrowdUK

Azure Time Series Insights Gen2 is now GA. In this episode we look at how customers can create an Industrial IoT analytics platform using Azure Time Series Insights (TSI) Learn more at https://aka.ms/iotshow/timeseriesinsights

In this 28-video series, you will learn important concepts and technologies to build your end-to-end machine learning applications on Azure: Sarah and Francesca will guide you throught the data science process, from understanding your data, to applying machine learning algorithms and deploying your models on Azure. Finally, they will conclude the series explaining what ethical data science is and how to apply intepretability toolkits to you machine learning solutions. To learn more, check out: aka.ms/DevIntroDS_GitHub​ and aka.ms/DevIntroDS_Learn

Alan is a guy who likes to solve problems! Alan is a Head of Digital Transformation and Innovation at Schlumberger where he has created over 90 different apps using the Power Platform. Alan's journey started not only creating applications that improved business processes, but also apps that help the well being of his colleagues. Join Dona and Sarah in this episode where we talk about the next steps for Alan and how he aims to achieve his goal to create TWENTY new versions of himself! Alan is Head of Digital Transformation and Innovation at Schlumberger where he evangelises Power Apps and works with his team to deploy apps at scale on the Power Platform. He is also a regular and involved member of the Power Platform and #poweraddicts community where he shares knowledge and insights on how to build applications, sometimes the app themselves as mentors many people to get started. Learn more about Alan here: https://www.linkedin.com/in/alanchai/

This week, James is joined by John Thiriet live from France who shows off how he combined the power of App Center Analytics with Application Insights. This combination gives crazy insight into your application when it is live. John shows off how to set it up and how to start to write queries today. Time Codes: [00:00] Intro to App Center & App Insights[03:25] Exporting to App Insights[06:10] Querying Data in App Insights [09:00] PowerBI Integration [12:00] Playing around with Kusto Show Links: Docs - App CenterDocs - App InsightsJohn's Blog - Crashes and errors analytics with App Center and Application InsightsFollow @JamesMontemagnoNever Miss an Episode: Follow @TheXamarinShowUseful Links: Learn more about XamarinLearn more about Xamarin.FormsLearn more about Cross-platform developmentXamarin Developer CenterXamarin BlogMicrosoft Learn Self-Guided TrainingCreate a Free Account (Azure)Xamarin Developers YouTube ChannelXamarin on Twitter

Not sure what to do once you start experiencing performance issues in your application after shipping it? Use the profiling tools in Visual Studio! In this multi-part series with profiler PMs Esteban Herrera and Sagar Shetty, we'll explore the world of profiling and the tools that can improve your code's performance. Part 1 defines profiling, the various scenarios for when you should use profiling tools, and a peek into Visual Studio's Performance Profiler feature, which we'll explore more in future parts! Learn more about profiling in VS here: aka.ms/vsprofilingdocs

In the second part of this two-part series, we discuss why Azure SQL is the best database in the cloud for developers, dive deeper into architectures, and review customer case studies to truly understand how Azure SQL really shines. Click here to watch part one. [01:05] Data architectures applied with Azure SQL[03:00] Hyperscale[04:00] Demand analytics, forecasting, recommendation[06:00] Easy setup[07:15] Detection & security customer studies Additional Resources:JSON Samples10 Reasons why Azure SQL is the Best Database for DevelopersBig Red Cloud Case StudyBing Ads Technical Blog PostDevOps for Azure SQL IntroSync Mobile Apps with Azure Using Change Tracking API