Big data does not necessarily mean huge data. If a dataset is small, it's very easy to analyze it. We can load it on to an Excel spreadsheet and do the required calculations. But, as the volume of data gets bigger, we have to find other alternatives to process it. We may have to load it to an RDMBS table and run a SQL query to find the trend and patterns on the given structure. Further, if the dataset format changes to something like email, then loading to RDBMS becomes a huge challenge. To add more complexity to it, if the data speed changes to something like real time, it becomes almost impossible to analyze the given dataset with traditional RDBMS-based tools. In the modern world, the term big data can be expressed using the five most famous Vs. Following is the explanation of each V in a nutshell.
In this chapter, we will cover the following...
