Big data is very high, complex, and dynamic data for capturing, maintaining, managing, and analyzing general data applications. Big data is called big data that we cannot process with the traditional method. It is very difficult to process big data in databases like SQL agents that we know. Only databases such as Hadoop and MongoDB are used to analyze big data.
You can analyze the demographic, economic, and even emotional situations of almost everyone in the world, in detail, in this huge database, which rises 40% every year.
İn short, the analysis has no end, and the data you receive may not always be the one you want.
If you are selling a store product, selling air tickets and vacation, selling real estate, it is very useful for you.
It also has advantages for the food, automotive, broadcast, and telecommunication sectors.
Ability to advertise to people who like z, in their x ages, y ages, opened by Facebook to advertisers; it turns the planning upside down — because you may need to cancel all your other ads. Google AdWords can help you analyze your site and help you choose which keywords to choose. In LinkedIn, you can advertise to people at any level you want in the sector you want. which is just the advertising part.
In the endless pool, you can learn which day of the week and at what times a person is more positive, and accordingly, the convenience of selling a bank card to that person. but if that is your goal, you can find out.
The event called big data represents collective and analyzable data. Today, big data is examined in 5 levels. this is called 5v.
Volume: the amount of data created and the stored data are taken into account.
Speed: represents the incoming and outgoing data speed.
Data diversity: data from different sources and different
It is produced in formats. data can be numerical, textual, image, sound, video, that is, in a structural or non-structural format.
Data quality: controls the reliability of the data and whether it can be used in critical decision-making processes.
Data value: the part of being able to generate information from the data.
The most important criterion that shows how valuable the data is is the value that the data adds to the critical decision process. big data is used in many areas such as crime prevention, defense, security, income management, transportation, etc. The so-called “preventive police services” have been implemented in the cities of Seattle, Los Angeles, USA. The time, place, and content of the crimes committed have been examined, the murder rate has decreased by 12% in 4 months, theft has decreased by 26%.
Without knowing what you want, knowing what you want, and not knowing what you want to obtain, you may not be able to make sense of the information pollution. more seriously, you can also misunderstand.
