Does Big Data Have Limitations?

Before I even begin to get into the limitations of Big Data, let's take a look at what we're talking about here.

Big Data Or Internet Of Things(IOT) was developed in the late 1990's with the boom of the World Wide web. Essentially, it is the concept of collecting data from multiple sources and saving it in a common data center so that the data can be accessed, analysed and actioned upon.

In the recent past, we have seen tremendous growth with Machine learning and Artificial Intelligence. This has been made possible because of Big Data. From Healthcare, to Marketing and even organizations like NASA use Big Data to monitor and analyse for recommendations, feedback on health, and even spots to look for in the stars to find celestial bodies.

With all that said, one has to face the harsh reality that despite it's advantages, Big Data still poses a lot of limitations and that for the most effective use of the concept, we still need time, talent, and a way to organize the data

Take a look at the concerns listed below.

We haven't reached a time where Big Data can provide us with the solutions to all our problems just yet.