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## Next step
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- [ Connect to Azure SQL Edge] ( connect.md )
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- - [ Building an end-to-end IoT solution with SQL Edge] ( deploy-azure-resources.md )
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+ - [ Building an end-to-end IoT solution with SQL Edge] ( tutorial- deploy-azure-resources.md)
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- [ Deploy SQL Edge through Azure portal] ( deploy-portal.md )
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- [ Machine Learning and Artificial Intelligence with SQL Edge] ( onnx-overview.md )
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- - [ Building an end-to-end IoT solution with SQL Edge] ( deploy-azure-resources.md )
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+ - [ Building an end-to-end IoT solution with SQL Edge] ( tutorial- deploy-azure-resources.md)
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href : tutorial-sync-data-sync.md
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- name : Build an end-to-end IoT solution with SQL Edge
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items :
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- - name : Set up resources for the tutorial
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- href : deploy-azure-resources.md
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- - name : Set up IoT Edge Modules and connections
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- href : set-up-iot-edge-modules.md
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- - name : Deploy ML model on SQL Edge using ONNX
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- href : run-ml-model-on-sql-edge.md
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+ - name : Set up Azure resources
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+ href : tutorial- deploy-azure-resources.md
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+ - name : Set up IoT Edge Modules
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+ href : tutorial- set-up-iot-edge-modules.md
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+ - name : Deploy model to SQL Edge
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+ href : tutorial- run-ml-model-on-sql-edge.md
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- name : How to
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- name : DAC packages and Stream Analytics jobs
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