Big visual data analytics has arrived, and security for data in-use has, too. Hybrid HPC delivers needed compute power. Before tackling multi-cloud data complexity, think first. And learn how to avoid dropping the data visualization ball.
The journey toward widespread confidential computing is just beginning. Frodo has just set off from the Shire, if you will. But much like Frodo, the enterprise has some helpers along the way—in this case, Intel SGX technology, which helps secure data in-use, especially in multi-tenant cloud environments.
Just because you’ve always done things one way doesn’t mean that’s the best solution now, right? In 2019, increasing your HPC cluster’s footprint because you need more compute power maybe isn’t the best solution. Companies need flexibility for HPC, and for many, that means a hybrid HPC solution.
Here’s something your high school math teacher might have told you: Think through the problem first and then start solving it. When dealing with multi-cloud data complexity, the same thinking applies. IT leaders should think through possible approaches before selecting tech to solve the problem. Doing so prevents wasted time and the wrong solutions.
Regardless of your sport of choice, dropping the ball is never a good thing. It’s not good in business either, and unfortunately businesses drop the ball with data visualization more often than you’d think. But the right data visualization strategies and dashboards can help keep the data ball in play.