Kirill Gavrylyuk joins Scott Hanselman to discuss new improvements for Azure Cosmos DB SDKs, including the new, idiomatic .NET SDK with friendlier, more intuitive programming model, better testability, better performance, .NET Standard 2.0 support, and now open sourced.     

 

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Learn about the new SDKs for Azure Cosmos DB with the JavaScript SDK as an example, talk about CORS (Cross-Origin Resource Sharing) with a simple JavaScript app to demonstrate it, a new, low-cost database offer in the Azure portal, Azure DevOps build task, cost saving tips, and support for multi-region strong consistency.

 

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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.

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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.

Steve Steuart from Astadia joins Scott Hanselman to show how a mainframe reference architecture based on Azure enables you to deploy your mainframe assets to a native Azure environment. You can the leverage all the available Azure services with your new mainframe in the cloud, including AI, Power BI, IoT, and Machine Learning.     

Data Integration is complex and helps organizations to combine data and complex business processes in hybrid data environments. The increase in volume, variety and velocity of data has led to delays in monitoring and reacting to issues. Organizations want to reduce the risk of data integration activity failures and the impact to other downstream processes.

Manual approaches to monitoring data integration projects are inefficient and time consuming. As a result, organizations want to have automated processes to monitor and manage data integration projects to remove inefficiencies and catch issues before they affect the entire system.

In this episode, Gaurav Malhotra joins Scott Hanselman to show how organizations can now improve operational productivity by creating alerts on data integration events (success/failure) and proactively monitor their Azure Data Factories.

Stephanie Hurlburt, Binomial co-founder, joins Scott Hanselman to talk about their current projects. Stephanie covers the differences between CPU and GPU, how Binomial balances open standards with its paid products, and where to get started with open source image/texture compression. From Scott, you’ll hear about open source in healthcare, including his personal experiences with diabetes technology, where to learn more, and ways to get involved.

You’ll leave with a few new projects to check out, and, whatever you’re passionate about, there’s likely an open source community or project waiting for you to join – or start.

Christian Wade joins Scott Hanselman to show you how to unlock petabyte-scale datasets in Azure with a way that was not previously possible. Learn how to use the aggregations feature in Power BI to enable interactive analysis over big data.

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