Big Data

Big data refers to the collection of data that is too complex and too large for processing by standard database tools.

There is no specific quantity of data, which is set as a minimum level to be considered Big data.

Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread.

The term Big data was first introduced in 1980 by Charles Tilly.

The term Big data was primarily used in computer science, statistics, and econometrics and was made famous in Silicon Valley in the mid-1990s.

What Big Data Can Do for You

Big data is the massive amount of data collected over time that are difficult to analyze and handle because the data sets are so enormous.

The records are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine, and science.

The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs, and unstructured text from blogs and social media, as well as the vast amounts of data that can be collected from sensors of all varieties.

Big data can also refer to the analytical challenge in deriving meaningful information from data in petabyte and exabyte volumes.

For example, big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making.

Big data is used in a wide range of industries, sectors, or applications.

This includes benefits for governments, healthcare, finance, education, media, internet of things (IoT), information technology, and others.