Big Data is getting even bigger.
Experts predict that there may be as many as 200 billion devices in the Internet of Things (IoT) by 2020. All of these devices will be collecting, aggregating and sharing a massive volume of data.
As organizations plot the infrastructures they’ll need to support their IoT efforts, they can’t look only at requirements for today. They must plan several years ahead so their investments don’t go to waste when their data exceeds their storage solutions.
It’s nearly impossible to gauge an organization’s future storage needs considering the limitless possibilities of IoT. So it’s important to find scalable, flexible storage solutions that can grow along with an IoT deployment.
Since various organizations have different resources and needs, IT leaders should consider a variety of storage options, including disk, cloud, flash and hybrid.
Cloud-based storage, which organizations can easily scale up or down, makes sense. Instead of housing the infrastructure in an on-premises data center, organizations can purchase storage from cloud-based providers based on their current needs. If those needs change, they can purchase more or less storage.
This Infrastructure-as-a-Service model cuts back on IT costs. Instead of buying more than they need to cover themselves during peak periods, organizations can scale up and down to meet changing demands.
As data flows increase, not only must organizations have enough space to house information, but they must also make sure data is easily accessible. IoT data comes from vastly different environments in different formats using different languages. Users, in turn, face a serious challenge in compiling these disparities into a common language and storage solution so it can be analyzed as a whole.
Software from vendors such as Splunk can help organizations make sense of the data they collect. Splunk and the developer community that has emerged around the company have created numerous applications and add-ons that simplify the collection of IoT data from disparate systems.
Gaining value from IoT isn’t only about putting sensors on objects and connecting them to the internet. That strategy can backfire. If organizations invest too heavily in connecting objects and gathering data without making sense of the data, they can wind up wasting time and money.
While many organizations recognize the potential of IoT, they struggle with how to pull value from it. Even organizations that have a clear vision of how IoT can help them must overcome hurdles to get there.
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