The Consumer Electronics Show (CES) arrived last week in Las Vegas and with it came a tsunami of wearables, gadgets, high tech backpacks, and tech toys of all kinds. CES is one of the biggest shows on the tech scene, and though not every product makes it to the general market, it is a leading indicator of things to come. The tale of this tape is that after a sputtering start and a bit of overselling, the Internet Of Things (IOT) is actually here. Gizmos and gadgets made headlines and are always great to check out, but one thing that hasn’t been mentioned much is how the increase in wearable devices is driving Big Data today and how it will drive big data in the future.
We’ve been living with consumption devices like tablets and smartphones for some time now. With all these wearables coming onto the scene, the big change is that these devices are increasingly designed to interact with our daily lives and they do that by collecting data. This is data about you, such as your activity, your vital signs, your location and much more. A massive explosion of data is due to follow and that will be massive. This data will have to be collected, processed and analyzed. Wearables are headed straight down a collision course with Big Data, and with this storm of wearables coming ashore, the massive waves and demands of Big Data will be following closely. It’s something we have to deal with as there are many implications and you have to wonder if the industry is ready to harness the coming deluge.
I can tell you this, massive amounts of data needs Big Data and Big Data needs an on demand compute and storage platform that can handle it.
A Big Data IT Architecture has to have maximum performance, and can not have bottlenecks
At the core of Big Data, there is a thirst for power and performance. Volumes of data need to be analyzed quickly, producing rapid insights, rapid feedback and rapid search capabilities. That’s why you need a dedicated bare metal level of architecture that can deliver the performance on demand, with bare metal dedicated resources that are always available for maximized performance without bottlenecks. Big Data apps need massive performance to parse all the data collected from wearables such as those seen at CES. Utilizing dedicated systems that are scalable in a hybrid infrastructure in order to meet these maximum performance needs makes sense.
A Big Data infrastructure also has to collect and move this massive amount of incoming wearable data and that means distributed points of collection and storage that are constantly distributing data to the core of the IT infrastructure. That infrastructure, even if based on dedicated servers, has to be able to scale on-demand. Think of it as absorbing the load as data is coming in as opposed to going out. Throughput is definitely going to have peaks and valleys that depend on many factors such as the devices being collected, data being collected, the audience and so on. Consider this example: Not many people go jogging at night, so standing up servers and services built for peak capacity around the clock would be a waste. Therefore the bare metal dedicated infrastructure has to scale in a cloud-like fashion but with bare metal performance.
Presenting the Big Data
You’ve started collecting data, great. You’ve got a place to process it – also great. Now you’ve got to get it to where people can see it, and use it in the presentation layer. Cloud architectures deliver that. With its virtualized on-demand computing resources, the cloud itself is a story you should know well by now. In the context of Big Data, the cloud is an ideal place to house the presentation layer of Big Data applications and allow it to scale with the number of users searching or using the data. A good example here is that while data about your vital signs is continuously stored on bare metal dedicated servers, when you access the data to view it that could be enabled by virtualized cloud servers that scale seamlessly by the number of views.
Big Data Meeting The Hybrid Cloud
All of the presentation layer, all of the collection, all of the geo-dispersed and flexible elements of a thriving Big Data infrastructure are screaming for the on demand hybrid cloud. Hybrid cloud is the only IT infrastructure that scales both the data layer and presentation layer effectively, reliably, and on demand. The Internet Of Things is a human opportunity with an immeasurable value that lies ahead. This will surely be realized in ways we can’t even imagine just yet. By gathering and analyzing this never-ending stream of accurate, valuable data from the real world from devices all around us, things about our world are going to change. Hybrid cloud computing will emerge as the solution of choice as it gives it a high performance platform, and a platform that scales.
CES 2015 Signaled The Rise of The Hybrid Cloud
Consumer devices simply aren’t standalone anymore and that fact is evident in the Internet Of Things – it is a hybrid cloud case study and a harbinger of the next generation of clouds. At the end of the day, all of the devices that have come out at CES are about interconnectivity and about devices connecting with people in new, interesting ways that improve our lives immensely: from radical things like vital signs monitoring to predict heart attacks, to more mundane applications like helping people get in shape and lose weight. All of those things require data to tell the story– data that will need to be collected, processed and analyzed. It’s not only Big Data, it’s the BIGGEST DATA of all – it’s us.
We are lucky and excited to be sitting at this intersection. We have enabled ourselves though our On-Demand Hybrid Cloud to be enablers of this massive change in the way we do things, our quality of life, and our progress as a human race.
Tags: big data