The amount of data that's being created and stored on a global level is almost inconceivable, and it just keeps growing. Big data is a term that describes the large volume of data—both structured and unstructured. Let's now delve deeper into big data, beginning with the challenges of big data.
Big data is characterized by three challenges. They are as follows:
The volume of the data
The velocity of the data
The variety of the data
The volume problem can be approached from three different directions: efficiency, scalability, and parallelism. Efficiency is about minimizing the time it takes for an algorithm to process a unit of information. A component of this is the underlying processing power of the hardware. The other component, and the one that we have more control over, is ensuring that our algorithms are not wasting precious processing cycles with unnecessary tasks.
Scalability is really about brute force and throwing as much hardware at a problem...
