The constant in cloud data you can’t overlook 

Cloud computing—and with it, cloud data—has seen remarkable growth over the past several years. At the close of 2018, Forrester reported that nearly 60% of North American enterprises relied on public cloud platforms, which is five times the percentage that did just five years ago. Today, the larger conversation around cloud data and cloud computing has shifted. No longer is the primary question whether or not there are benefits to cloud computing, but instead, what does successful cloud data management look like? 

First, a “successful” cloud platform will look different for every organization. There isn’t one solution to cloud data management because not all data is created equal. In fact, not all data should be cloud data—hybrid solutions, or a mix of cloud and on-prem, are attractive to organizations that want to transition some workloads to the cloud, but also want to retain control over sensitive data with legacy solutions. Then there’s the question of cloud providers. The market has a clear “Big 3”—Microsoft, Amazon, and Google—but even after selecting a provider, each come with their own set of serverless offerings to best outfit organizations depending, in part, on what type of cloud data they have. And there’s roles and responsibilities to consider, as well. A platform with proper cloud data management alleviates some of the burden of a traditional IT function, such as provisioning data storage, but demands more knowledge in cloud computing. According to LinkedIn, cloud computing skills tops the list of hard skills that organizations are searching for in 2019.