Big Data is getting Bigger

Big Data has a new frontier.

As computers, the internet and robotics continue to expand into every facet of our daily lives, the data that they create becomes more and more massive.

This data is extremely valuable.

But how do we gather and analyze the data?

How is this done cost effectively?

In most cases, it is too much data to push to the cloud. Never-mind the logistics of moving the data, the cost alone would be prohibitive. There is the hardware, software, engineering, maintenance, power consumption, cloud costs, computing power, storage capacity…

Currently, the majority of this data is not utilized. It just dissipates because it is too cumbersome and too expensive to capture. Take for example an oil rig. There are more than 30,000 sensors on each oil rig. The data created from these sensors in one day would take 12 days to push to the cloud. This data is extremely valuable. It can tell when equipment is going to fail or when inefficiencies exist. This is the kind of information that can save multi-millions in profits or, more importantly, save a life. 

The solution to this use case and countless others is Hivecell from Ricker Lyman Robotic.

What is Hivecell? Hivecell pushes compute power from the cloud back to the edge. What is the edge? The edge is where the data is created or, as we like to call it, the PoD (point of data). Instead of sending massive amounts of data to the cloud to be analyzed, Hivecell gathers all the data, analyzes all the data at the edge, and only sends the valuable data to the cloud. Simply put, Hivecell separates the needles from the haystack. 

How does it work? 

Hivecell is a small, powerful, inexpensive appliance for deploying and managing software at the edge. Hivecells stack together like toy blocks, passing power and communication through our patent pending Baranovsky connectors. So, one plug and one ether cable runs a whole cluster. Users can remotely install and update complex distributed software, such as Hadoop or Kubernetes, as easy as installing a smartphone app. The Hivecell built-in patent pending provisioning system makes this possible. 

Bottomline: Hivecell makes the edge as easy to manage as the cloud, yet it is more than 50% less expensive than the cloud. With Hivecell anyone can capture, manage and use Big Data.

Check out what it looks like: www.hivecell.io