AMD scored another victory as Microsoft moved its updated Azure Data Explorer platform to EPYC 2-based virtual machines (VMs). Microsoft's AMD-based Dav4 VM family is now the default SKU for Azure ...

SANTA CLARA, Calif., Oct. 15, 2020 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today announced Azure Data Explorer, a Platform as a Service (PaaS) solution optimized for data exploration and near real-time ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

The goal of Gen2 - beyond ensuring the expected performance improvements - was to make Azure Data Lake Storage (ADLS) more compatible with the Apache ecosystem. Now, because ADLS is built on top of ...

Microsoft has beefed up several data analytics offerings in its Azure cloud platform, headed by the general availability of Azure Data Explorer. Azure Data Explorer fosters real-time analytics of ...

Microsoft Corp. is adding to the data management capabilities of its Azure cloud with the launch today of two new services into general availability. Company officials said in a series of blog posts ...

One of the big issues facing anyone building a data-driven devops practice is, quite simply, the scale of the data you’re collecting. Logs from millions of users quickly add up, and the same is true ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

I already had familiarity with Azure Data Explorer, but a conversation with with Lee Chen, Fastly's Head of Strategic Partnerships (and its former Head of Product), helped me understand why the Fastly ...

Microsoft today announced the general availability of Azure Data Explorer (ADX) and Azure Data Lake Storage Gen2 (ADLS Gen2) -- two services it says will afford Azure customers greater flexibility in ...

Most companies today are collecting enormous amounts of data, and chances are they know that data contains crucial insights about everything from what customers want to purchase at 10 p.m. on Friday ...