If we take a simpler definition, it can basically be stated as a huge volume of data that cannot be stored and processed using the traditional approach. As this data may contain valuable information, it needs to be processed in a short span of time. This valuable information can be used to make predictive analyses, as well as for marketing and many other purposes. If we use the traditional approach, we will not be able to accomplish this task within the given time frame, as the storage and processing capacity would not be sufficient for these types of tasks.
That was a simpler definition in order to understand the concept of big data. The more precise version is as follows:
Data that is massive in volume, with respect to the processing system, with a variety of structured and unstructured data containing different data patterns to be analyzed.
From traffic patterns and music downloads, to web history and medical records, data is recorded, stored, and analyzed to enable technology and services to produce the meaningful output that the world relies on every day. If we just keep holding on to the data without processing it, or if we don't store the data, considering it of no value, this may be to the company's disadvantage.
Have you ever considered how YouTube is suggesting to you the videos that you are most likely to watch? How Google is serving you localized ads, specifically targeted to you as ones that you are going to open, or of the product you are looking for? These companies are keeping all of the activities you do on their website and utilizing them for an overall better user experience, as well as for their benefit, to generate revenue. There are many examples available of this type of behavior and it is increasing as more and more companies are realizing the power of data. This raises a challenge for technology researchers: coming up with more robust and efficient solutions that can cater to new challenges and requirements.
Now, as we have some understanding of what big data is, we will move ahead and discuss its different characteristics.
