- Azure data studio backup how to#
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On the same screen, define the correctHostPort for your container.
These include your password, SQL Server language, and collation settings. In this pane, you need to define your environmental variables and set the properties and create options for your module.
Navigate to the IoT Edge Custom Modules screen. In the deployment modules section of the Set Modules page, click the Configure button next to the SQL Edge module. IoT Edge Device Name-the name of the device you want to deploy SQL Edge to. You should choose the option to “deploy to a device”. IoT Hub-the hub where your intended device is registered. This should match the subscription used for your IoT Hub. Subscription-ties the module to your subscription. In the Target Devices for IoT Edge Module screen, define the following. Find the option that fits your requirements and select Create. In the Marketplace, find the Azure SQL Edge module. Once your prerequisites are in place, take the following steps to deploy SQL Edge to your devices. You can add modules to your device through the Portal. Preparing your IoT Edge device to deploy the Edge modules of your choice. You can register your device through the Portal, in Visual Studio Code, or through the CLI. 
Registering your IoT Edge Device in your hub. You can create this hub through the Azure Portal from the Marketplace. Creating an Azure IoT Hub to serve as a backend for your devices. Azure data studio backup trial#
Having an active Azure subscription. If you need an account, free trial accounts are available.You can find this walkthrough here.īefore you can get started deploying Azure SQL Database Edge, there are a few prerequisites you need to take care of. This tutorial is adapted from a more detailed walkthrough in the Azure documentation.
Azure data studio backup how to#
Once completed, you can then convert these models with ONNX and execute them in SQL Edge.īelow is a brief tutorial showing how to deploy SQL Edge to your cloud environment. Using the ONNX runtime, you can flexibly develop ML models using the tools and languages of your choice. This format enables you to exchange neural network and deep learning models between ML frameworks. Features provide similar capabilities to those available through the Azure Stream Analytics on IoT Edge service.Īzure SQL Database Edge includes built-in analytics and machine learning (ML) features based on the Open Neural Network Exchange (ONNX) runtime. These features are based on the same design as Azure Stream Analytics. These features are designed for resiliency, efficient bandwidth use, low-latency, and compliance. SQL Edge includes built-in features for streaming that you can apply to complex event processing and real-time analytics. Two main capabilities make Azure SQL Database Edge stand out-its ability to stream data and its machine learning features. This version provides access to Edge containers with up to four CPU cores and 32GB of memory.
Azure SQL Edge Developer-meant for development only. This version provides access to Edge containers with up to eight CPU cores and 64GB of memory. Azure SQ L Edge-meant for production deployments. You can choose from two editions that differ based on the CPU and memory resources you need and your required usage rights. You can access SQL Edge through the Azure Marketplace, where it is available as a module for Azure IoT Edge. This enables it to provide T-SQL functionality and portability between your cloud resources, data centers, and IoT Edge devices. SQL Edge is based on the same engine as Azure SQL Database. It includes features for streaming, processing, and analyzing relational and non-relational data, including time-series, graph, and JSON data. The SQL Edge engine enables you to create a high-performance processing and data storage layer for your IoT devices and applications. 
How to backup and restore databases in Azure SQL EdgeĪzure SQL Database Edge is an optimized database engine for Internet of Things (IoT) and IoT Edge workloads that require distributed storage strategies. SQL Edge is available through the Azure Marketplace, as a module for Azure IoT Edge, and in two versions-Azure SQL Edge for production deployments, and Azure SQL Edge Developer for development only. SQL Edge provides capabilities for streaming and analyzing relational and non-relational data. Azure SQL Database Edge enables you to create high-performance data storage and processing layers for Internet of Things (IoT) and IoT Edge workloads.
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