We know the Azure Stream Analytics support Azure Machine Learning Functions, we can create the ML functions and add it to the ASA job, so is ASA support the normal Web Service? not the ML function.
This is not currently possible in Azure Stream Analytics. You can vote for this feature on https://feedback.azure.com/forums/270577-stream-analytics
Related
I was taking a look at Hub—the dataset format for AI—and noticed that hub integrates with GCP and AWS. I was wondering if it also supported integrations with MinIO.
I know that Hub allows you to directly stream datasets from cloud storage to ML workflows but I’m not sure which ML workflows it integrates with.
I would like to use MinIO over S3 since my team has a self-hosted MinIO instance (aka it's free).
Hub allows you to load data from anywhere. Hub works locally, on Google Cloud, MinIO, AWS as well as Activeloop storage (no servers needed!). So, it allows you to load data and directly stream datasets from cloud storage to ML workflows.
You can find more information about storage authentication in the Hub docs.
Then, Hub allows you to stream data to PyTorch or TensorFlow with simple dataset integrations as if the data were local since you can connect Hub datasets to ML frameworks.
How can I create a new Azure Machine Learning workspace when creating a new Azure Container Instance from Azure cloud shell.
Here is a sample of the command am using to create the ACI.
az container create --name dev-container –resource-group XXX –location eastus –image mcr.microsoft.com/XXX –cpu 2 –memory 6 –environment-variables WORKSPACE_NAME=XXX
Thanks
I think you're approaching the problem from the opposite direction than the Azure ML PG. My understanding is that when you make an Azure ML workspace, an Azure Container Instance service is automatically spun up and is inherently tied to the Azure ML workspace. Check out a similar question another user had this week
More generally, Azure ML has a core feature called Environments which provides a simple interface for creating custom Docker/Conda environments.
As far as I understand, every instance of Azure Digital Twins Preview brings its own IoT-Hub. A normal Azure IoT-Hub I could query like this (https://learn.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-query-language):
SELECT * FROM devices
How do I query the built in IoT-Hub of Azure Digital Twins?
Or isn't it possible to access this IoT-Hub and I always have to use the Digital Twins REST-API?
The current preview of Azure Digital Twins does not allow you to query the IoT Hub. However, at Microsoft Build, a new version of the preview was announced. This will change the structure of the Digital Twins itself and also allow you to bring your own Azure IoT Hub to integrate with. In the Build Book Of News, it is stated that this preview should come this summer.
As Matthijs van der Veer mentioned, Currently, there is no direct access to the IoT Hub created along with Digital Twins. However, in GA we will have the ability for you to bring your own/directly create & associate your own hub. Yes, you need to use Management API to connect the IotHub.
The new capabilities, which will be available in the summer of 2020, include OPEN Modeling Language, live execution environment, easy integration with Azure IoT Hub and other Azure services, and rich query APIs.
For more updates regarding Azure Digital Twins, please check Azure Updates page.
I see Azure IoTHub described as Cloud Platform as a Service? could anyone explain why IoTHub is PAAS?
https://azure.microsoft.com/en-in/services/iot-hub/
From the documentation:
Connect, monitor and manage billions of IoT assets—Use Azure IoT Hub to securely connect, monitor and manage billions of devices to develop Internet of Things (IoT) applications. IoT Hub is an open and flexible cloud platform as a service that supports open-source SDKs and multiple protocols.
To provide some context, the following article gives a high level overview of the various Azure IoT services, both PaaS and SaaS: Internet of Things (IoT) technologies and solutions: PaaS and SaaS
I'm exploring Pivotal Cloud Foundry (PCF)'s PAS for moving our organisation's on-premise application onto private cloud. Going by the documentation, I'm unable to find if PCF has any offering for end user authentication & authorisation like we have Cognito on AWS?
If not, are there any other external service that can be used in conjunction with PCF for the purpose?
Thanks for your help.
I don't know if it'll be an exact replacement, but Pivotal Cloud Foundry has a single sign-on option available.
https://docs.pivotal.io/p-identity/1-6/index.html
It uses the same UAA, which comes with the platform and controls access to the platform, but is completely separate and allows you to provide similar access controls to your applications running on top of Pivotal Cloud Foundry.