This video posted by Microsoft has an interesting look at the challenges holding companies back from digital transformation in the cloud era.

What if we could store data in such a way that we never had to worry about quality loss or degradation? Microsoft Partner Deputy Lab Director Ant Rowstron shares his thoughts on redesigning the datacenter for a cloud-centric world. An ordinary piece of glass could have an extraordinary impact on the ways in which we store data and preserve collective memories. Using silica glass presents an energy efficient, sustainable and nearly indestructible method of data storage that could change the way we preserve our history, movies and music and more.

Discover more about this story at Microsoft Innovation: http://msft.social/b1iM95

The new Azure Machine Learning studio is an immersive web experience for managing the end-to-end lifecycle.

The new web experience brings all of the data science capabilities for data scientists and engineers, across diverse skill levels from no code authoring, to code-first experiences, and their ML assets together in a single web pane to streamline machine learning.

Learn More:

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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 to find potentially breaking changes to your app and its dependencies.

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Gaurav Malhotra joins Scott Hanselman to show how wrangling data flows in Azure Data Factory.

This provides  a code-free, serverless environment that simplifies data preparation in the cloud and scales to any data size with no infrastructure management required.

It uses the industry-leading Power Query data preparation technology (also used in Power Platform dataflows, Excel, and Power BI) to prepare and shape the data. Built to handle all the complexities and scale challenges of big data integration, wrangling data flows enable use Apache Spark execution to help you easily prepare data at scale.

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.

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A quick introduction on how to think about setting up alerting and monitoring for applications in Kubernetes.

What do you get out of the box, how can you integrate more advanced metrics and add your own custom monitoring and alerting to reliably operate your application.

Resource links

HDFS Tiering is Microsoft’s latest contribution to the Apache HDFS open source project.

In this video, learn how to use the HDFS tiering feature in SQL Server big data clusters, to seamlessly get access to your remote HDFS compatible storages for querying and analysis.

To learn more, check out our documentation: https://docs.microsoft.com/sql/big-data-cluster/hdfs-tiering?view=sql-server-ver15&WT.mc_id=dataexposed-c9-niner.