Abstract: Azure SQL DB offers disaggregated storage architecture called Hyperscale. While this architecture provides storage scale out, it comes at the cost of performance of I/O from remote storage.

Microsoft is moving another core database management component into the cloud, continuing its broader shift away from traditional on-premises infrastructure. According to Neowin, the company has ...

Samsung is preparing to further integrate Perplexity AI into its devices, possibly including the new “Hey Plex” wake word for easier activation. Perplexity’s latest app release includes code that ...

Microsoft has confirmed that recent Windows updates trigger RemoteApp connection failures on Windows 11 24H2/25H2 and Windows Server 2025 devices in Azure Virtual Desktop environments. RemoteApp ...

Amid the AI-heavy headlines at Microsoft's annual conference, several behind-the-scenes updates landed that could have a major impact on how IT teams build, run and scale core infrastructure in Azure.

Enterprises need data, and data needs to be stored, with a flexible, portable environment that scales from developers’ laptops to global clouds. That storage also needs to be able to run on any OS and ...

Horrifying footage has captured the moment a six-meter python dragged a tour guide underwater, just moments before coiling around his neck. Experienced snake catcher, Heru, was traveling down a river ...

Microsoft Azure experienced a global outage on October 29. Microsoft customer-facing services were affected. Recovery came later that same day, but some problems linger. Last week, Amazon Web Services ...

OpenAI restructures, removing restriction on capital raise Microsoft holds 27% stake in OpenAI Group PBC Deal removes constraint on OpenAI's ability to raise capital Microsoft market value once again ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

Hello guys, I am working on creating a Monitoring using Azure ML mainly for checking the Data Quality signal (Quality of the baseline and production data) and Data Drift signal (Change in distribution ...

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