Big Data V’s

What is Big Data?

Large amount of data which is impossible for traditional data processing and management systems to handle effectively. Examples of traditional systems could be RDBMS, On-Premises Data Centers, Traditional batch processing systems, etc.

Big Data is mainly characterized by four V’s as follows:

(A) Volume – 2.5 Quintillion (2,500,000,000,000,000,000) Bytes of data are created every day. It is typically too large to be processed by conventional databases and software tools.

(B) Variety – Various forms of data. Data can come from a variety of sources, like social media, sensors, weblogs, and more.
1. Structured data – traditional database information
2. Unstructured data – text, images, log files, audio, video
3. Semi-structured data – CSV, XML, JSON

(C) Velocity – The speed at which data is being created every day.

(D) Veracity – Veracity refers to the trustworthiness of the data. Since big data can be derived from various sources, ensuring the reliability and accuracy of the data can be a concern.