The cloud was supposed to fix everything
—making your entire operation better, faster, stronger. And in many ways, it has. But chances are, your data lake is starting to look like the Great Pacific Garbage Patch. Instead of trash, it’s “cruft” data—code that is poorly designed, unnecessarily complicated, and generally unwanted.
No one wants a buildup of cruft code. And there are best practices for sweeping the cruft out from the dark corners of your infrastructure. When you clean up technical debt, you’re presented with a rare opportunity to reorganize the whole house: connecting, integrating, and generally improving your company’s data and applications. The data can live anywhere—on premises, in the cloud, in between—but the business processes for harnessing and managing that data must be apparent. (And they’re rarely apparent from the get-go, which is why there’s so much cruft cluttering your attic.)
Meanwhile, the speed of change is sobering. McKinsey & Company found that, by June 2020, e-commerce grew faster in that one season than it had during the past 10 years. That’s not just because of scale—we know the data universe has expanded. The fact is, physical channels are dying. As human behavior adapts and our daily lives move online and into software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS) channels, organizations must support that growth by anticipating change rather than reacting to it. That starts with IT teams. Your team.
Why this e-book?
This e-book aims to help you understand how and why to build a standardized data architecture—a set of unified standards that govern which data is collected and how it’s stored, integrated, and used. It’s not about drawing a fancy reference architecture and leaving you to implement sans context. Ultimately, we want to help you take ownership of your data—in clouds, data centers, on the edge. To do this, build a sound data services stack that creates cohesion in your infrastructure and, in turn, in your day-to-day operations. Luckily, your IT teams already have the skills to facilitate a connected and integrated storage infrastructure so that your company can succeed amid the tech boom. Let’s take a closer look at three obstacles to building a standardized data architecture and how to address them.