Sep 17, 2019
Big Data and Big Data Analysis has become a concept that we hear about more frequently. Although it has existed for years, it recently emerged at the forefront of advanced technology.
Big Data and Big Data Analysis are very effective in extracting social decision mechanisms and making statistical predictions based on mass data. Every individual within a society contributes to big data without realizing it and supports the formation of big data. We support this phenomenon as well as contribute to providing continuous data flow to this medium which we call “Big Data”.
Big data, which can also be called a data set, has become more diverse with the advancement of technology and increased data usage. Using the information on the internet, software companies believe that research and development (R & D) studies will provide valuable data. Within the framework of these studies, the following understanding emerged; the information in many sources, such as shares, made on social media, photo and video archives, log records can be processed and made meaningful.
What is important in big data studies is the classification of data. Unclassified data is difficult to transfer. Although companies try to classify the data they have, some of the data cannot be carried out and therefore all of the data in the database cannot be transferred to the usage area. Companies have seen that the software used to report their customers’ photos, videos and photos on social media shares such as Facebook, Instagram is inadequate in the classification studies. This data, which is useful, can now be transformed into valuable data with the help of big data.
There are 5 components that make up big data known as the 5V’s:
Big Data Analysis, also known as predictive analysis, is a kind of data mining and it is based on statistics, modeling, machine learning and artificial intelligence. These components are used in the analysis.
In the data analysis method used by large companies;
There are 2 data types. Structured data are concrete and easily classified. For example, age, sex, city of residence is structured data; whereas, social media comments, and notes left by customers to call centers, are unstructured data. This data is processed by big data analysis and afterwards, predictions are made about what may arise in the next steps.
Big data analysis is used in many sectors and provides companies with significant ease of work:
There is various software that perform the sorting and transfer of data to the field of use. Here are the most popular of this software: