Azure videos
Azure Instance Metadata Service updates for attested data
Azure Instance Metadata Service is used to provide information about a running virtual machine that can be used to configure and manage the machine. With the latest updates, Azure Marketplace vendors can now validate that their image is running in Azure.Azure Instance Metadata serviceInstance metadata data categoriesAzure Virtual MachinesAzure MarketplaceCreate a free account (Azure)
Anomaly detection using machine learning in Azure Stream Analytics
Azure Stream Analytics is a fully managed serverless offering on Azure. With the new Anomaly Detection functions in Stream Analytics, the whole complexity associated with building and training custom machine learning (ML) models is reduced to a simple function call resulting in lower costs, faster time to value, and lower latencies.Anomaly Detection in Azure Stream Analytics (docs)Anomaly detection using built-in machine learning models in Azure Stream Analytics (blog post)Azure Stream Analytics docsAzure Stream Analytics - Real-time data analytics overviewAzure Stream Analytics pricingCreate a free account (Azure)Follow @SHanselman Follow @AzureStreamingNever miss an episode: Follow @AzureFriday
Using HashiCorp Vault with Azure Kubernetes Service (AKS)
As the adoption of Kubernetes grows, secret management tools must integrate well with Kubernetes so that the sensitive data can be protected in the containerized world. On this episode, Yoko Hakuna demonstrates the HashiCorp Vault's Kubernetes auth method for identifying the validity of containers requesting access to the secrets.HashiCorp Vault project websiteGet started with VaultKubernetes Auth Method docVault Agent with Kubernetes guideVault Agent docHow does Vault encrypt data?Open Source Security Best Practices for Developers, Contributors, and Maintainers (The Open Source Show)Create a free account (Azure)
Working with Microsoft, HashiCorp launched Vault with a number of features to make secret management easier to automate in Azure cloud. Yoko Hyakuna from HashiCorp joins Donovan Brown to show how Azure Key Vault can auto-unseal the HashiCorp Vault server, and then how HashiCorp Vault can dynamically generate Azure credentials for apps using its Azure secrets engine feature.HashiCorp Vault project websiteGet started with VaultAuto-unsealing Vault using Azure Key Vault guideVault server configuration with Azure Key VaultAzure Secrets Engine docHow does Vault encrypt data?Create a free account (Azure)
Quickly build data integration pipelines using templates in Azure Data Factory
Gaurav Malhotra joins Lara Rubbelke (@sqlgal) to show how to use predefined Azure Data Factory pipeline templates to get started quickly with Azure Data Factory thereby reducing the development time for building data integration projects.Overview of templates for Azure Data FactoryAzure Data Factory overviewAzure Data Factory docsAzure Data Factory pricingGet started quickly using templates in Azure Data Factory (blog post)Create a free account (Azure)
An overview of Azure Blueprints
Alex Frankel (@sonofdiesel) joins Scott Hanselman (@shanselman) to discuss Azure Blueprints. Environment creation can be a long and error prone process. Azure Blueprints helps you deploy and update cloud environments in a repeatable manner using composable artifacts such as policies, role-based access control, and Azure Resource Manager templates.Azure Blueprints docsGetting started with Blueprints YouTube seriesManaging Blueprints-as-codeCreate a free account (Azure)
Code-free data transformation at scale using Azure Data Factory
Learn about the new code-free visual data transformation capabilities in Azure Data Factory as Gaurav Malhotra joins Lara Rubbelke to demonstrate how you can visually design, build, and manage data transformation processes without learning Spark or having a deep understanding of the distributed infrastructure.Azure Data Factory mapping data flowsAzure Data Factory overviewAzure Data Factory docsAzure Data Factory pricingCreate a free account (Azure)
An overview of Azure Data Explorer (ADX)
Manoj Raheja joins Lara Rubbelke to demonstrate Azure Data Explorer (ADX) and provide an overview of the service from provisioning to querying. ADX is a fast, fully managed data analytics service for real-time analysis on large volumes of streaming data. It brings together a highly performant and scalable cloud analytics service with an intuitive query language to deliver near-instant insights.Azure Data Explorer overviewAzure Data Explorer docsAzure Data Explorer pricingCreate a free account (Azure)
Enhanced monitoring capabilities and tags/annotations in Azure Data Factory
Gaurav Malhotra and Scott Hanselman (@shanselman) explore tagging support and enhanced monitoring capabilities, including dashboards and improved debugging support in Azure Data Factory. Data integration is complex and the ability to monitor your data factory pipelines is a key requirement for dev ops personnel inside an enterprise.Now, you can tag/annotate your data factory pipelines to monitor all the pipeline executions with that particular tag. In addition, Data Factory visual tools provide dashboards to monitor your pipelines and an ability to monitor your pipeline execution by the Integration Runtime (IR) upon which the activities execute.Alert and Monitor data factories using Azure MonitorAzure Data Factory overviewAzure Data Factory docsAzure Data Factory pricingCreate a free account (Azure)
Transform Data Into Dollars with Intelligent Retail
Microsoft is enabling retailers to deliver personalized customer experiences by empowering employees, driving digital transformation, and capturing data-based insights to accelerate growth for our partners and customers. Join this session to learn more about how Microsoft can help retailers:Deliver a superior customer experienceEmpower retail employees with a modern workplaceDeliver an intelligent supply chain to improve efficiency and cost managementReimagine retail to reinvent your business and capture new opportunities