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Watch this IoT Show to learn why Azure Cosmos DB (aka.ms/CosmosDB-IoT-Lab), Microsoft’s globally distributed multi-model database service, is frequently used in IoT scenarios. (Hint: Cosmos DB can ingest semi-structured data at extremely high rates and serve indexed queries back out with extremely low latency.)  Andrew Liu, Program Manager, Cosmos DB team, steps through two popular

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Christina Lee joins Scott Hanselman to show what’s new in Azure Cognitive Services.  Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise.  All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps. [0:02:00] – Demo Azure Cognitive Services overview Container

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Keiko Harada joins Scott Hanselman to show how to use Prometheus to monitor containers in Azure Monitor.  Prometheus is a popular open source metric monitoring solution and is a part of Cloud Native Compute Foundation.  Customers who like the extensive metrics which Prometheus provides on Kubernetes also like how easy it is to use Azure

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Azure Machine Learning now offers two editions that are tailored for your machine learning needs, Enterprise and Basic, making it easy for developers and data scientists to accelerate the end to end machine learning lifecycle. The Basic edition is a one stop destination for open source developers and data scientists who are comfortable with a

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Do you have large data sets that seem too big to map? (aka.ms/IoTShow/MapsClustering) Watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets. Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering

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Most of the time, your apps are running happily and healthily. However, when things go wrong, you can use Genie and Navigator in App Service Diagnostics to figure out what’s wrong. Jen Lee joins Scott Hanselman to show how the App Service Diagnostics interactive interface (Genie) guides you intelligently through the self-troubleshooting experience. Navigator, enables you

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This video talks about Azure Machine Learning Pipelines, the end-to-end job orchestrator optimized for machine learning workloads. With Azure ML Pipelines, all the steps involved in the data scientist’s lifecycle can be stitched together in a single pipeline improving inner-loop agility, collaboration, and reuse of data and code, while maintaining high reliability.  Learn More:  Azure

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Container startup time is the price of admission, but startup time is also an inhibitor for many serverless scenarios. Steve Lasker joins Lara Rubbelke to show how Project Teleport eliminates the download and decompression of layers by directly mounting expanded layers, potentially unlocking many new scenarios. [0:02:13] – Demo Azure Container Registry Adds Teleportation blog

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