Big Data vs. Data Science

What is the difference between Big Data and Data Science?

Website: https://www.educba.com/big-data-vs-data-science/

Big Data refers to the large amounts of data which are too difficult to store and process in real-time. Data Science is the large field involved in using scientific methods to process and mine the Big Data.

 The top 5 comparisons between Big Data and Data Science are as follows:

Meaning
Big Data refers to large masses of data which needed to be handled using measures beyond database programming and is characterized by volume, variety and velocity. Data Science, on the other hand, refers to the various processing big data approaches. It is similar to data mining.

Concept
Big Data consists of all different data types derived from all different data sources whereas Data Science is a specialized field which provides organizations with techniques and other measures for processing Big Data.

Basis of Information
Big Data is a lot simpler than Data Science in the sense that we can find it everywhere; electronic devices, internet traffic, live feeds, spreadsheets and so on. Data Science, however, is a bit more complex as it entails more models and scientific methods used to extract information from the Big Data.
Application Areas
Which fields make use of Big Data? Let's take a look. We can find Big Data in the financial, telecommunications, performance optimization, health and sports, research and development and security and law enforcement sectors of the economy. However, only some fields apply Data Scientific methods. Some of these areas fields may include internet search, digital advertisements, image and speech recognition, fraud and risk detection and web development.
Approach
Big Data helps business gain competitiveness, leverage data sets for their advantage, achieve sustainability and also gain new customers by helping them to understand the various markets. Data Science involves a more complex use of Mathematics and Statistics and data visualization and prediction. It also requires persons acquire and make use of their programming skills.

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