Writing data is easy. You take in the information and put it away for future use. It’s remembering exactly what you wrote and where you put it that’s the challenge. Just like having to look for your keys as you try to rush out the door, getting that data quickly makes all the difference. And when your database is your bestie, it can serve that information fa ... Show More
Aug 27
Virtualization Is (Still) King
Virtual machines are not just the power behind legacy infrastructure. They are becoming a vital pillar for GPUs, which are integral to large language models. Maria Bracho, CTO for industries at Red Hat, explains how virtualization, far from being replaced, has adapted to leverage ... Show More
31m 40s
Jun 2021
Accelerating ML Training And Delivery With In-Database Machine Learning
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model in ... Show More
1h 5m
Aug 2022
An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date ... Show More
1h 6m