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Power BI Embedded is integrated with Azure Diagnostics logs, so you can dive into specific behaviors of the resource and better understand root causes for peaks in usage or errors.
Version 1.0 of the Azure Event Hubs package for Go is generally available.
Azure SQL Data Warehouse (SQL DW) customers can build near real-time analytics solutions with tighter integration with Azure Databricks.
Version 1.0 of the Python package for Azure Event Hubs is now generally available.
New support has been added for more powerful tracking of Windows files, file content tracking and differencing, and adjustable Windows Service collection frequency.
Azure SQL Data warehouse is a fast, flexible, and secure analytics platform. The compute optimized Gen2 tier of Azure SQL Data Warehouse is now available in 23 regions. We recently made the service available in Australia Central, Australia Central 2, and France Central.
New feature updates to have been released for Azure Monitor container health for Azure Kubernetes Service since the successful public preview launch at the //build conference.
Azure Firewall is a managed cloud-based network security service that protects your Azure Virtual Network resources. It is a fully stateful firewall as a service with built-in high availability and unrestricted cloud scalability.
Using Power BI with Azure Stream Analytics enables users of Power BI Embedded dashboards to visualize insights from streaming data within the context of the apps they use every day.
Azure Stream Analytics now supports reference data with a maximum size of 300 MB.
A new overview page for Azure Log Analytics helps users get started and quickly find the tool or service they came for—including cost management, logs, and View Designer.
Effective August 16, 2018, we’ll introduce improved standardized meter names for Virtual Machines. Meter name changes for all other services will be effective by the end of October 2018.
In the Sprint 136 Update of Visual Studio Team Services (VSTS), we're introducing some design changes.
You can partition your Azure Stream Analytics output to Blob storage based on any column in the query.
Azure Stream Analytics now includes machine learning model support for spike and dip detection.
Azure Stream Analytics jobs on IoT Edge support C# custom code.
Session windows are available in Azure Stream Analytics.
You can now deploy web apps composed of multiple Docker containers to App Service on Linux, which takes care of capacity provisioning, load balancing, and underlying infrastructure maintenance. With this new capability, you can easily bring your Docker Compose or Kubernetes Pod definition to App Service and use powerful App Service capabilities such as built-in CI/CD, auto scaling, and intelligent diagnostics.
Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data.
Stream Analytics offers substream support to help customers process telemetry streams. The OVER keyword extends the TIMESTAMP BY clause for this purpose.