Channel 9

This week, James is joined by friends of the show by the designer and architect of F# Don Syme and Microsoft MVP and Fabulous maintainer Timothé Larivière. They are here to show off how F# and Fabulous create an awesome way to build cross-platform apps with Xamarin. Leveraging functional programming and MVU style of development create a lovely environment for build apps. Tune in for a full crash course! Show Links: FabulousBlog: How to become a Fabulous developerGitHub: Fabulous ContactsGitHub: Fabimals SampleGitHub: Fabulous WeatherGitHub: Fabulous PlanetsFind James on: Twitter, GitHub, Blog, and his weekly podcast Merge Conflict.Follow @JamesMontemagnoNever Miss an Episode: Follow @TheXamarinShowUseful Links: Learn more about Xamarin, Xamarin.Forms, & Cross-platform developmentXamarin Developer Center & BlogMicrosoft Learn Self-Guided TrainingCreate a Free Account (Azure)Xamarin Developers YouTube ChannelXamarin on Twitter

In the first part of this two-part video segment, Rohit Nayak explains what Private Endpoint for Azure SQL Database is and how it relates to the overall connectivity story for Azure SQL. You can learn more about Private Link in Azure SQL Database here https://docs.microsoft.com/en-us/azure/sql-database/sql-database-private-endpoint-overview?WT.mc_id=dataexposed-c9-niner , and Private Link generally for Azure here https://docs.microsoft.com/en-us/azure/private-link/private-endpoint-overview?WT.mc_id=dataexposed-c9-niner .At the beginning, Rohit mentions a playlist with other videos you should review to get more background on the topic. You can see the playlist here: https://www.youtube.com/playlist?list=PL3EZ3A8mHh0xtbf4Cr2yR4-xsUtELwPjw?WT.mc_id=dataexposed-c9-niner [00:46] Connectivity architecture for public endpoint[01:46] Private Link overview[03:55] Why Private Link?[05:08] How does Private Endpoint work?[06:55] Client connectivity scenarios to Private Endpoint[09:05] Summary and what's next

In this episode, Robert is joined by Julian Bucknall, CTO of DevExpress, who shows off the power and capabilities of several of the DevExpress controls for WinForms and WPF. He also demonstrates the benefits of DirectX Hardware Acceleration and why DevExpress chose to introduce DirectX rendering for a number of its WinForms Controls (Data Grid, Chart, Scheduler, and Pivot Grid). Resources: DevExpress WinForms and WPF controlsLearn more about DirectX Hardware AccelerationVideo: See for yourself how fast the DevExpress WinForms data grid is when used with DirectXDownload the free 30-day trial of DevExpress UniversalGet your free copy of CodeRush for Visual Studio (Offer expires June 30, 2020)Contact the DevExpress team at info@devexpress.com

When you are processing gigs or terabytes of data, it's important to have resources that will help you scale to fit your data processing needs. In this episode, Brigit Murtaugh joins us again to show us how Azure Synapse can help us power our .NET for Apache Spark data processing jobs. [01:55] - Azure?[03:30] - Which Azure service do you choose?[T04:52} - Running on Azure Synapse[11:35] - Inspecting Spark job results[13:00] - Using Notebooks tin Azure Synapse[16:59] - Using ML.NET with Apache Spark Useful Links .NET for Apache Spark.NET for Apache Spark documentation.NET for Apache Spark 101 videos.NET for Apache Spark on GitHubAn Introduction to DataFrame

In this episode of The Endpoint Zone with Brad Anderson, Brad and Simon discuss the current state of IT in the COVID-19 pandemic. They talk about how organizations are moving from a state of response to COVID-19 and new work from home practices to a sustained hybrid-workplace model. In this new model IT will need to seamlessly enable end users to both work from home and from the offices with fluidity. Brad and Simon discuss how organizations are making this move. Brad and Simon also discuss and demo the new Endpoint Security experience in Microsoft Endpoint Manager and the importance of IT Admin / SecAdmin handoffs. Simon shows you the new experience centralizing security management for Windows, macOS, Android and iOS. You'll see how Microsoft Defender ATP comes into this experience to deliver security on Windows and macOS.

Building forecasts is an integral part of any business, whether it's revenue, inventory, sales, or customer demand. Building machine learning models is time-consuming and complex with many factors to consider, such as iterating through algorithms, tuning your hyperparameters and feature engineering. These choices multiply with time series data, with additional considerations of trends, seasonality, holidays and effectively splitting training data. Forecasting within automated machine learning (ML) takes these factors into consideration and includes capabilities that improve the accuracy and performance of our recommended models. This session will highlight the forecasting features of Automated ML and how to leverage them. Jump To: [00:35] – What is time-series forecasting?[01:30] – Simplify ML with Automated ML[02:30] – DriveTime customer scenario[04:15] – Features & Functionality[05:20] – DemoLearn More: What Is Auto Machine Learning Time-Series Forecast ModelThe AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show Create a Free account (Azure) Deep Learning vs. Machine Learning Get Started with Machine Learning

Are you curious how data scientists and researchers train agents that make decisions? Learn how to use reinforcement learning to optimize decision making using Azure Machine Learning. We show you how to get started. Jump To: [00:36] - What is reinforcement learning?[01:37] – How do reinforcement learning algorithms work?[04:10] – Reinforcement Learning on Azure – Notebook sample[05:17] – Reinforcement Learning Estimator[07:21] – Sample training Python script[09:06] – Training Result[10:15] – What kind of problems can you solve with reinforcement learning?Learn More: Auto Machine Learning ServicesAuto Machine Learning Reinforcement LearningThe AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show Create a Free account (Azure) Deep Learning vs. Machine Learning Get Started with Machine Learning

Damian sits down with Martin Woodward at Microsoft Ignite 2019 to talk about interoperability with Azure DevOps in the coolest way possible. The DAS Deployer is a fun project using a Raspberry Pi, some Python, and the Azure DevOps REST API to approve manual release gates. Martin explains how he built it, what it does, and how you might be able to build one yourself! Jump To: [01:00] DAS Deployer reveal [02:20] The API and integrations[03:03] Building one yourselfMore Information: Das Deployer on GitHubAzure DevOps REST APIDevOps Lab Favorite Links: Create a Free Azure DevOps AccountAzure DevOps DocsWrite Cool CodeGitHub Actions

Let's take a step back in a new mini-series that I like to call Xamarin.Forms 101. In each episode we will walk through a basic building block of Xamarin.Forms to help you build awesome cross-platform iOS, Android, and Windows applications in .NET. This week we take a look at how to show lists of data, and how to make an entire view refresh. Show Notes: CollectionView DocumentationRefreshView DocumentationNever Miss an Episode: Follow @TheXamarinShowUseful Links: Learn more about Xamarin, Xamarin.Forms, & Cross-platform developmentXamarin Developer Center & BlogMicrosoft Learn Self-Guided TrainingCreate a Free Account (Azure)Xamarin Developers YouTube ChannelXamarin on Twitter

.NET for Apache Spark empowers developers with .NET experience or code bases to participate in the world of big data analytics. In this episode, Brigit Murtaugh joins Rich to show us how to start processing data with .NET for Apache Spark. [01:01] - What is Apache Spark?[02:33] - What are customers using Apache Spark for?[03:50] - What did we create .NET for Apache Spark?[06:30] - Exploring GitHub data[T15:012] - Considering data processing in the real world[18:26] - Analyzing continuous data streams Useful Links .NET for Apache Spark.NET for Apache Spark documentation.NET for Apache Spark 101 videos.NET for Apache Spark on GitHubAn Introduction to DataFrame

The powerful combination of NetCloud Edge Connector and Microsoft Azure IoT Central enables customers to easily and confidently deploy IoT applications to drive business outcomes. Optimizing operational efficiency, increasing customer satisfaction and reducing CAPEX/OPEX for deployments are example benefits this solution can deliver. NetCloud Edge Connector enables reliable and secure orchestration of IoT sensor data from Cradlepoint LTE edge routers to Microsoft Azure IoT Central. Now, Cradlepoint or Microsoft partners can easily build, deploy and securely host IoT applications at scale for their customers driving IT/OT convergence. Learn more reading Ken's blog post at https://aka.ms/iotshow/cradlepoint

Don't miss connecting with the IoT team at Microsoft Build 2020 https://mybuild.microsoft.com

We started by sharing top tips on creating user groups in your community, and in this episode we get real specific. We are sharing something awesome with you - the new User Group in a Box! We talk about exactly what it is, how you can get started and where to find it so you can get started building your new Power Platform User Group TODAY in this episode of Less Code, More Power. https://github.com/crm-cat/uginaboxTo learn more, visit: https://aka.ms/LessCodeMorePowerDocs

Scott Jeschonek joins Scott Hanselman to talk about Azure HPC Cache. Whether you are rendering a movie scene, searching for variants in a genome, or running machine learning against a data set, HPC Cache can provide very low latency high throughput access to the required file data. Even more, your data can remain on its Network Attached Storage (NAS) environment in your data center while you drive your jobs into Azure Compute. [0:08:00] - Azure HPC Cache in the Azure portal Azure HPC Cache overviewWhat is Azure HPC Cache?Azure HPC Cache docsAzure HPC Cache pricingCreate a free account (Azure)

This week, James is joined by friend of the show Gerald Versluis, Xamarin.Forms Engineer, who shows off one of the coolest feature ever for app developers and library creators, Source Link. When a library is Source Link enabled you can debug INTO the source code when you are running debugging your app. This helps you diagnose issues faster than ever, check it out. Show Links: GitHub: Source LinkGitHub: Demo CodeBlog: Source Link + Xamarin.FormsDocs: Source Link + .NET LibrariesFind James on: Twitter, GitHub, Blog, and his weekly podcast Merge Conflict.Follow @JamesMontemagnoNever Miss an Episode: Follow @TheXamarinShowUseful Links: Learn more about Xamarin, Xamarin.Forms, & Cross-platform developmentXamarin Developer Center & BlogMicrosoft Learn Self-Guided TrainingCreate a Free Account (Azure)Xamarin Developers YouTube ChannelXamarin on Twitter