Big Data: What it is & what it is not (Part 1)

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What is big data? ByteScout Bear goes to know

Analysts have been processing data for centuries in order to extract useful information from it. With the advent of modern computers, data processing has been revolutionized. 

DBMS systems can efficiently store, manipulate, edit and extract useful information from data. However, with the advent of social media, online marketing and digitalization of manual data entry systems, the amount of data has grown exponentially. Big data is so huge that existing systems are unable to process such huge data. Here comes the term big data.

What big data is?

Industry analyst, Doug Laney says that data having the following three characteristics, known as 3 Vs, is considered big data. 

Volume:

The data is so large that it can’t be handled by existing relational DBMS systems. For example, the data obtained from twitter posts and other social media platforms.

Velocity

Data is generated at such a fast speed that it can’t be processed at runtime. 

Variety

Data can be of different varieties i.e. structured data as well as unstructured data such as videos, images, email, financial data and stock tier data.
Read the 2nd part of the article 

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