In this video, Anna Hoffman and Jeroen ter Heerdt discuss and show how to create auto-failover groups in Azure SQL using PowerShell notebooks and a Java application. This video was based on a tutorial, which you can follow here: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-implement-geo-distributed-database?tabs=azure-powershell&WT.mc_id=dataexposed-c9-niner. To compare geo-replication and auto-failover groups, refer to the table here: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-business-continuity#compare-geo-replication-with-failover-groups&WT.mc_id=dataexposed-c9-niner. [00:30] Background[01:15] Comparing geo-replication
Alex Bocharov, Principal Researcher at Microsoft Quantum Systems group and Chris Granade, Senior Research Software Development Engineer join Vadim Karpusenko to discuss the impact of Quantum Computing on the Machine Learning and Artificial Intelligence domains. Touching briefly on decade-old pioneering results in Quantum Machine Learning, the story switches to describe more recent technologies meant for
Azure Maps Weather services (https://aka.ms/iotshow/AzureMapsWeatherService) add a new layer of real-time, location-aware information to Azure Maps portfolio of native Azure geospatial services. Bringing Weather Services to Azure Maps means IoT developers have a simple means of integrating highly dynamic, real-time, historic and forecasted weather data and visualizations into their applications through their existing Azure subscriptions.
In this video, Anna Hoffman and Jeroen ter Heerdt discuss and show one way for loading data from Azure Blob storage into Azure SQL Database. For more info, see https://docs.microsoft.com/en-us/sql/t-sql/statements/create-external-data-source-transact-sql?view=azuresqldb-current&WT.mc_id=dataexposed-c9-niner [00:25] Background[01:25] Azure SQL Notebook in Azure Data Studio[02:06] Step 1: Create a table and schema[02:20] Step 2: Create a master key[02:37] Step 3: Create
Even as threats to IoT devices increase, very few of them are being designed with security in mind. Azure Sphere introduces a trusted and secure platform to build software upon, combining the security of open source with Microsoft’s Seven Properties of Highly Secured Devices. Let’s walk through our security model and what it takes to
GitHub Actions lets you take code in your GitHub repository and add automation around it. You can create workflows that respond to issue comments, handle pull requests, or perform CI/CD on macOS, Windows and Linux. It’s easy to create workflows that build your code to validate pull requests or deploy it when you create a release.
Azure Sphere is now generally available (http://aka.ms/iotshow/azuresphere), marking an important milestone in Microsoft’s commitment to provide an end-to-end security solution for securing any IoT device. What is the Azure Sphere security promise and how does it deliver end-to-end security for IoT devices? We’ll look at the security demands of safety critical equipment and IoT deployments
Isaac Levin joins Scott Hanselman to talk about building highly scalable applications and having fun with the Rock, Paper, Scissors, Lizard, Spock sample application. Rock, Paper, Scissors, Lizard, Spock is a multi-language application built with Visual Studio and Visual Studio Code, deployed with GitHub Actions and running on Azure Kubernetes Service (AKS). It also uses
In this video, Anna Hoffman and Jeroen ter Heerdt discuss and show the connection policy options available and why you might choose one over the other. For more info, see: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-connectivity-architecture#connectivity-architecture&WT.mc_id=dataexposed-c9-niner. In this video, Anna Hoffman and Jeroen ter Heerdt discuss and show the connection policy options available and why you might choose one over
Indexing and Querying are pivotal when building the search platform. This video explains how Azure cognitive search works and how developers can add their own input to it. The focus is on explaining how information processing in search engine is divided in to indexing and querying, important steps for both the processes, document processing, adding