BigData Analytics 

What is BIG DATA? Introduction, Types, Characteristics, Example

(Explained in detail below)

Before we go to introduction to Big Data, you first need to know

What is Data?

The quantities, characters, or symbols on which operations are performed by a computer, which may be stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media.

Now, let's learn Big Data introduction

What is Big Data?

Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.

In this tutorial, you will learn,

• What is Data?

• What is Big Data?

• Examples Of Big Data

• Types Of Big Data

• Characteristics Of Big Data

• Advantages Of Big Data Processing

Types Of Big Data

Following are the types of Big Data:

1. Structured

2. Unstructured

3. Semi-structured

Structured

Any data that can be stored, accessed and processed in the form of fixed format is termed as a 'structured' data. Over the period of time, talent in computer science has achieved greater success in developing techniques for working with such kind of data (where the format is well known in advance) and also deriving value out of it. However, nowadays, we are foreseeing issues when a size of such data grows to a huge extent, typical sizes are being in the rage of multiple zettabytes.

Do you know? 1021 bytes equal to 1 zettabyte or one billion terabytes forms a zettabyte.

Looking at these figures one can easily understand why the name Big Data is given and imagine the challenges involved in its storage and processing.

Do you know? Data stored in a relational database management system is one example of a 'structured' data.