Companies are now beginning to see that the problem lies not in the model's size, but in whether the AI can actually ...
Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was ...
Giant AI data centers are causing some serious and growing problems – electronic waste, massive use of water (especially in arid regions), reliance on destructive and human rights-abusing mining ...
For most of the last decade, data centers have been synonymous with size. These sprawling, warehouse-scale installations ...
Oracle Corp. early today debuted a new version of its Autonomous Data Warehouse platform that promises to simplify enterprise analytics projects, as well as reduce costs. Companies use the Autonomous ...
New Dremio survey of enterprise IT professionals finds data lakehouses are the primary architecture for delivering analytics, with 65% running a majority of analytics on lakehouses Over half are ...
Data warehouses may seem like a trip down memory lane, or just a clunky data store. But if we look closely at data warehouse projects, the goals - and results - remain relevant. Most clients I speak ...
Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...
Every college and university has data storage needs, and student records are just the beginning. IT systems demand storage as well: Internet logs, security events, building systems, security cameras ...
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