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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

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Are you looking to gain more control of the costs of operating your growing Azure HDInsight clusters? Are you interested in driving higher utilization of your Azure HDInsight clusters? If yes, then you should definitely watch this video to learn about how to leverage Azure HDInsight Autoscale feature to help you achieve higher cost efficiency.

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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

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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

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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.

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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

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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

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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

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