It is dealing with unstructured or structured data, which includes all of the survey, preparation and analysis of all data, it is a mixture of statistics, mathematics, programming, problem solving, data collection in ingenious ways, and the ability to look at things with other angles, i.e. all the techniques that extract All information is from data.
If you do not fully understand what the definition means, then the vision will become clearer after seeing some applications of its uses, which are all difficult to mention, it is countless, but I will mention some:
Internet search: Search engines use algorithms, to show you the best results, which are often more searching and more popular to provide you.
Digital Advertising: Online marketing uses data science algorithms to learn about advertising and offers.
Suggestion systems: i.e. offering suggestions to the user from products, offers, videos, and links according to the user’s most searched and requested demands, i.e. recommendations are based on the user’s previous search results.
What is Big Data?
It is a very very large amount of data, which cannot be dealt with or processed effectively by traditional methods, it is extremely difficult to collect it, and it also requires huge memory and storage units to store it, not enough memory for one computer.
(buzzword) is a word used to describe massive amounts of data in both structured and disorganized situations, according to research firm Gartner: “It is very large data, of high speed and diversity, that requires innovative and effective forms of information processing, decision making, and process automation.”
Some of its applications:
Big data for financial services: used by credit companies, banks, and also in reports for managing internal wealth, insurance companies, institutional investment banks for financial services.
The problem with all of them is the vast amounts of data and its extreme variance.
In communication companies: There is no doubt about that as it deals with millions of customers, with perseverance to acquire new subscribers, and to retain old subscribers, and the solutions to these challenges lie through giant data.
Finally, we will talk about salaries for each of these specialties, and the differences between them:
According to Glassdoor, the average salary of a data scientist ranges from $ 113,436 to $ 123,000 per year, while a giant data expert has an average salary of $ 62,066, while a data analyst’s salary, according to the same site, is about $ 60,476 per year.
