“Big data” is a term many of us have grown accustomed to over the last few years. A multitude of companies, large and small, is interested in big data – what it means, what it can do, and how it can make businesses more efficient in the long run.
BIG DATA: WHAT IS IT?
For the most part, big data refers to large sets of information more massive and complex than businesses may be used to. In fact, big data cannot be processed by traditional software applications, and usually requires something more technologically advanced.
HOW DOES IT WORK?
Usually, big data instills the use of predictive maintenance or user behavior analytics. Basically, anything that extracts value from data to better understand problems and strengthen companies. The most common arenas in which one may find big data include government branches, healthcare and medical fields, corporate or manufacturing informatics, and fintech.
Data sets grow quite rapidly, so the official meaning of big data can change depending on the capabilities of its tools and applications. Big data is consistently moving. Thus, its competencies can expand regularly.
A LITTLE TOO COMPLEX…
So, you may be wondering, “If they’re so large and complicated, how are big data sets analyzed?” If you think employees can accomplish this task, think again. The fact is that big data accumulates at an incredibly fast rate – to the point that no human can gather the data processed quickly enough to satisfy current business requirements. The data in question is simply too large and processed too swiftly for human abilities, and machines have inherently been hired to take over.
ENTER, THE IIoT!
This is where the IIoT comes in. IIoT stands for the “Industrial Internet of Things,” which is composed of several devices connected through communications software. While predominantly reserved for factories and manufacturing, the IIoT borrows (and even enhances) some of the same ideals and concepts of the IoT, which stands for “Internet of Things.” The IIoT uses sensory equipment to connect factory machines; these sensors move much faster than both humans and common software alike. They work in 24-hour shifts to communicate with the equipment and devices they’re monitoring, and gather the data these devices look to produce. This data is then used to decipher problems and issues that arise during working hours. Information gathered may range from machinery temperature to faulty parts.
The IIoT collects the data, which executives and manufacturers inherently use to improve production rates and other factors of their enterprises. The IIoT makes businesses far more efficient and keeps high-ranking executives on top of things, thereby reducing downtime and extended periods of shutdown.
Big data is the information gathered, while the IIoT is the collector. They both bear the same goal – to bring higher levels of efficiency to global companies, though their functions and forms couldn’t be more different, and one is clearly the “master” of the other. In a consistently changing world of digitization and technological advancement, big data is the way to go, and the IIoT is how you can get it.