ACR Build: Automate Docker builds with OS and framework patching
Build with an Azure free account. Get USD200 credit for 30 days and 12 months of free services.
Start free todayAzure Stream Analytics: Managing timelines and coding on IoT Edge
Description
Jean-Sébastien Brunner joins Lara Rubbelke to discuss new features that enable you to implement the intelligent cloud, intelligent edge vision for streaming analytics: Stream Analytics running real-time analytics with custom code on IoT Edge. We also discuss substreams, which is a new time management feature for independently processing the timeline of each device (very useful for an IoT scenario), and the recently announced Session Window.
For more information:
- Azure Stream Analytics (product info)
- Azure Stream Analytics now available on IoT Edge (Azure blog)
- 4 new features now available in Azure Stream Analytics (Azure blog)
- Announcing real-time Geospatial Analytics in Azure Stream Analytics (Azure blog)
- Azure Stream Analytics Documentation
- Create a free account (Azure)
Follow @sqlgal Follow @AzureFriday Follow @AzureStreaming
Share
Download
More episodes in this series
Automate Azure Resources with Ansible
Related episodes
Python on Azure: Part 1—Building Django apps with Visual Studio Code
Python on Azure: Part 2—Deploying Django services to Azure Web Apps
Python on Azure: Part 3—CI/CD with Azure Pipelines
Python on Azure: Part 4—Running serverless Django apps with Functions
Azure Container Registry updates for security and reliability
Pros and cons of stable and unique tags in Docker image tagging
Azure API Management for serverless applications
Azure Container Registry Tasks: Build and deploy to Azure App Service
Azure HDInsight: New Spark UI extensions for better job performance analysis
Faster, more accessible edge HPC with Avere vFXT for Azure
