What do you mean by Bigdata?

Every individual who belongs to the field of computers or data processing or even a data analytics student would come across to the term Bigdata. Normally Bigdata refer to the collection of large amounts of data which is collected on a very high velocity which is further then analyzed and put in use to develop new strategies and products. This data can also be used to learn about current market trends. The article will mainly focus on brief about gaining information about Bigdata and also what are the different places where it could be used to get maximum gains.

So basically, we have to understand the scope of different data that can be used in the Bigdata world. The Bigdata can include data which is structured, unstructured and semi-structured data. Structured data refers to the data which is already stored in the database in an ordered manner. The data which is not stacked in the row and column manner is called unstructured data. The difference between the structured and structured data has always been clear but for general understanding, NoSQL documents are considered to be semi-structured.

This was all about the kind of data that can be utilized in the world of Bigdata but the big data is governed by the five V’s:

1.    Volume

The quantity of data always matters. With the use of Bigdata, you’ll have to process high volumes of different types of data like the structured and unstructured data. This can be data of unknown value, such as Twitter data feeds, clickstreams on a webpage or a mobile app, or sensor-enabled equipment. The volume changes depending on the , for instance, some would consume data in terabytes and some could consume data in quanta bytes.

2.    Velocity

Here we are talking about the velocity of data is being used or acted upon. Normally the data which directly goes to the memory is fastest. Some devices which are internet enabled a transfer data in real time and need to be evaluated in real time.

3.    Variety

This simply relates to the many different types of data that can be consumed. It could be the same as the structured, unstructured and semi-structured.

4.    Value

Data has always been valuable but this value could not be brought unless and until its discovered. Data is capital. Looking at the biggest tech companies we can see that they constantly analyze this data to bring the best suiting product to the end user.

5.    Veracity

The big data you can make money but the fact which is more important is fact is finding the right data. It is required to ask the right question and find accurate solutions.

Students of data analytics can also take the help of online Bigdata assignment help to complete their assignments. The entire point of this article was to introduce big data and show the scope in the field. The article also gave a brief introduction of the Bigdata technology.