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Let’s start with table definition
.create table ExpensiveKustoQueries_Test (User: string, TimeStamp: datetime, CpuTime: timespan)
Now Ingestion with dynamic Value
.set-or-append ExpensiveKustoQueries_Test <| print … Continue reading How to add dynamic data into a table using ‘.ingest inline into table’ command
EDITED 23rd July 2019: The Planner integration is now available in our Mac app. You should be able to access your Assigned to Me list and also enable it within preferences.
Today, we’d like to announce the arrival of a new family member—that’s … Continue reading Microsoft To-Do for Mac is here!
When was the last time you or a loved one went to the doctor or hospital? Things have changed dramatically over the last few years, with kiosks to register, portals to track your health history, and texts reminding you about upcoming appointments.
The post IoT sensors and wearables revolutionize patient care appeared first on Cloud Perspectives Blog.
Continue reading IoT sensors and wearables revolutionize patient care
As you know the Windows Server 2008 and Windows Server 2008 R2 are out of support on January 14th, 2020. Customer will need to upgrade their Windows Server 2008 and Windows Server 2008 R2 to a newer version of Windows Server or migrate these servers to… Continue reading How to In-Place Upgrade Windows Server 2008 R2 to Windows Server 2019
In January and March, Outlook for iOS and Android launched support for delivering configuration settings when the app is deployed on enrolled devices.
With an Intune service update rolling out this week, administrators will be able to customize … Continue reading Without-Enrollment and Outlook for iOS & Android General App Configuration
This release contains bug fixes. No new features are included in this release.
The post Lifecycle Services July 2019 (Release 2) release notes appeared first on Dynamics 365 Blog.
The post Lifecycle Services – July 2019 (Release 2) release notes appeared first on Cloud Perspectives Blog.
Continue reading Lifecycle Services – July 2019 (Release 2) release notes
This article shows how to deploy an Azure Machine Learning service (AML) generated model to an Azure Function. Right now, AML supports a variety of choices to deploy models for inferencing – GPUs, FPGA, IoT Edge, custom Docker images. Customers h… Continue reading Deploying Azure Machine Learning service models for inference with Azure Functions
In a previous blog post (Video Anomaly Detection with Deep Predictive Coding Networks), I provided an overview for how to train a recurrent neural network to detect behavioral anomalies in videos.
In this post we are going to take it a step further: Le… Continue reading Perform transfer learning with AML service to propagate a deep learning model for anomaly detection