Big Data’s Relationship with The Internet of Things

I may be a couple of days late of Valentine’s Day, but there is a serious love fest between Big Data and The Internet of Things.

What is Big Data?

The Wikipedia says:

Big data is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data sizes are a constantly moving target currently ranging from a few dozen terabytes to many petabytes of data in a single data set.

What does this have to do with the Internet of Things?

Well, in short it has a lot to do with the Internet of Things.  In a recent article in the NY Times called The Age of Big Data  the Internet of Things is mentioned as playing a major contributing role to Big Data.

There is a lot more data, all the time, growing at 50 percent a year, or more than doubling every two years, estimates IDC, a technology research firm. It’s not just more streams of data, but entirely new ones. For example, there are now countless digital sensors worldwide in industrial equipment, automobiles, electrical meters and shipping crates. They can measure and communicate location, movement, vibration, temperature, humidity, even chemical changes in the air.

Link these communicating sensors to computing intelligence and you see the rise of what is called the Internet of Things or the Industrial Internet.

What is ioBridge’s take on Big Data?

One major part of our product and services is being a repository and gatherer for all this “Big Data”.   We agree the data is growing, but based on what we’ve seen here at ioBridge we think it is growing a lot faster than 50% per year.  We know how important the data is to our customers, which is why we’ve build our product to be rock solid in gathering the data and never missing a “sensor” beat.

So what is going to happen with all this “Big Data”?

All that data is the foundation for intelligent decision making.  One way to look at it is without the data all the things you see labeled as “Smart” really don’t have much information to figure out what the smart thing to do is.

At this point it is up to our clients to figure out what they can do with the data, but in the near future we can see playing a part in providing tools to help them discover more things about their data.