Difference between Big Data and Data Science

Data – Information – Knowledge. This context leads to knowledge.

So, data is the initial thing that we need to obtain in order to reach knowledge. Also, there’s a humongous bulk of data that is growing rapidly around us.

However, there are new concepts like Big Data and Data Science that started to take a huge part of our life thus, you should be aware of its meaning.

So, in the following, iLead will tackle the difference between both of them (Big Data and Data Science).

What Does Big Data and Data Science mean?

Big Data:

It is the huge amount of data that can’t be stored, managed, analyzed or processed in an effective way using the traditional tools and applications.

So, Big Data is consisting of structured, semi-structured and unstructured data.

Unstructured data like: videos, images, chat messages, web pages, emails, blogs, tweets, facebook posts, etc.

Well, according to Gartner, big data is “Big data is high-volume, and high-velocity and/or high-variety information assets” and those are the 3V’s of Gartner.

Nevertheless, to analyze unstructured data you will need special tools and techniques like (Data Science) what means that to do so you need both Big Data and Data Science.

What Sectors Can Benefit from the Usage of Big Data?

• Healthcare.
• Learning.
• Financial.
• Transportation.

Data Science:

Data Science is the method used to analyze big data in order to improve the business and develop the products to meet the customers’ needs and requirements.

So, Data Science is the techniques, statistics and mathematics that are used in analyzing, preparing and cleansing both structured and unstructured data in order to extract insights from such data what helps in improving the business.

What Sectors Can Benefit from the Usage of Data Science?

• Search engines.
• Digital marketing (setting target audience).
• Recommender system (improving user experience).
• Gaming.
• Image recognition.
• Robots.

So, from the above, we conclude that both Big Data and Data Science are integrated concepts that are used to enhance the users’ experience by providing them with the products and services they are looking for.