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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Gaurav Malhotra joins Scott Hanselman to discuss the Azure Data Factory visual tools, which enable you to iteratively create, configure, test, deploy, and monitor data integration pipelines. We took into account your feedback to enable functional, performance, and security improvements to the visual tools.

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Gaurav Malhotra joins Scott Hanselman to discuss Azure Data Factory (ADF) integration with Azure Monitor, which enables you to route your data factory metrics to Operations and Management Suite (OMS). Get the Azure Data Factory Analytics OMS service pack from the Azure marketplace.

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Carey MacDonald stops by to chat with Scott Hanselman about Azure Cosmos DB, a managed database service with unlimited horizontal scale, allowing you to scale storage and throughput independently.

In this video, Carey will cover how to partition your data in Azure Cosmos DB, best practices for choosing a partition key, and how to troubleshoot bad partition key choices.

I’ve long been a fan of integrating maps into applications, especially given how easy it is to get started. But there’s a lot more to mapping than just figuring out where the nearest Starbucks is.

Learn about the cartography design process as well as the robust data behind the curtains.

 

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Today’s business managers depend heavily on reliable data integration systems that run complex ETL/ELT workflows (extract, transform/load and load/transform data).

Gaurav Malhotra joins Scott Hanselman to discuss how you can iteratively build, debug, deploy, and monitor your data integration workflows (including analytics workloads in Azure Databricks) using Azure Data Factory pipelines.

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