Your Data’s (Finally) In The Cloud. Now, Stop Acting So On-Prem

Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. But instead of pressing it to the wood and pulling the trigger, you turn it sideways and hit the nail just like you would as if it were a hammer. You would probably think it’s expensive and not overly effective, while the site’s inspector is going to rightly view it as a safety hazard. Well, that’s because you’re using modern tooling, but with legacy thinking and processes. And while this analogy isn’t a perfect encapsulation of how some data teams operate after moving from on-premises to a modern data stack, it’s close. Teams quickly understand how hyper elastic compute and storage services can enable them to handle more diverse data types at a previously unheard of volume and velocity, but they don’t always understand the impact of the cloud to their workflows. So perhaps a better analogy for these recently migrated data teams would be if I gave you 1,000 nail guns…and then watched you turn them all sideways to hit 1,000 nails at the same time. Regardless, the important thing to understand is that the modern data stack doesn’t just allow you to store and process data bigger and faster, it allows you to handle data fundamentally differently to accomplish new goals and extract different types of value. This is partly due to the increase in scale and speed, but also as a result of <a href="https://medium.com/towards-data-science/conscious-decoupling-how-far-is-too-far-for-storage-compute-and-the-modern-data-stack-ce2d9c61ccd3" rel="noopener">richer metadata</a> and more seamless integrations across the ecosystem. <a href="https://towardsdatascience.com/your-datas-finally-in-the-cloud-now-stop-acting-so-on-prem-bbb7b4f35529">Click Here</a>