Big Data Characteristics

Big Data Characteristics :

Big data can be described by the following characteristics:

• Volume
• Variety
• Velocity

5 Vs of Big Data, Big Data technology components

5 Vs of Big Data :

1. Volume:

Big Data is a vast “volumes” of data generated from many sources daily, such as business processes, machines, social media platforms, networks, human interactions, and so on.

Example: Facebook generates approximately a billion messages, 4.5 billion times the “Like” button is recorded, and more than 350 million new posts are uploaded each day.

Big data technologies can handle large amounts of data.

2. Variety:

Big Data can be structured, unstructured, and semi-structured that are being collected from different sources. Data were only collected from databases and sheets in the past, But these days the data will come in an array of forms ie.- PDFs, Emails, audios, Social Media posts, photos, videos, etc.

3. Velocity:

Velocity refers to the speed with which data is generated in real-time. Velocity plays an important role compared to others. It contains the linking of incoming data sets speeds, rate of change, and activity bursts. The primary aspect of Big Data is to provide demanding data rapidly.

Example of data that is generated with high velocity - Twitter messages or Facebook posts.

4. Veracity:

Veracity refers to the quality of the data that is being analyzed. It is the process of being able to handle and manage data efficiently.

Example: Facebook posts with hashtags.

5. Value:

Value is an essential characteristic of big data. It is not the data that we process or store, it is valuable and reliable data that we store, process and analyse.