We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive.

The data industry has changed drastically over the last 10 years, with perhaps some of the biggest changes happening in the realm of data storage and processing.

The datasphere is expanding at an exponential rate, and companies of all sizes are sitting on immense data stores. And where does all this data live? The cloud.

Modern businesses are born on the cloud: Their systems are built with cloud-native architecture, and their data teams work with cloud data systems instead of on-premises servers.

The proliferation of cloud options has coincided with a lower bar to entry for younger companies, but businesses of all ages have seen the sense of storing their data online instead of on-premises.

The increased interest in cloud storage (and increased volume of data being stored) coincides with an increased demand for data processing engines that can handle more data than ever before.

The shift to the cloud has opened a lot of doors for teams to build bolder products and infuse insights of all kinds into their in-house workflows, user apps, and more.

The cloud is the future, but how did we get here?
Let’s dig into the history of the traditional data warehouse versus cloud data warehouses.