How to Make Use of 1. I believe YouTube is a good example of how large data can be used. YouTube, for example, evaluates the user’s proclivity based on big data from the user’s video records and continually presents videos that the user could be interested in. As a result, you often view films that are closely connected to your preferences.
2. Social media sites such as Facebook and Instagram You may target age, gender, area, and interests in your Facebook and Instagram advertising. If you set the age range to 20-25, the gender to male, the area to Seoul, and the interest to big data, adverts will only be shown to those aged 20 to 25, who live in Seoul, and who are interested in big data. Interest is calculated in a similar fashion to YouTube, except it detects individuals’ areas of interest based on their behaviors on social media sites, such as posts, comments, and shares. Customized advertising is much more effective than other forms of advertising in this manner. Occupational Perspectives The majority of jobs that rely on big data abilities are classified into categories. As a result, in order to secure a job in the big data industry, you’ll need a specification that demonstrates your skill and willingness to work. Academic background and certificate are representative characteristics, and a bachelor’s degree to master’s degree is essential to prepare for a smooth career. Because big data is such a challenging technology that relies on statistics and coding to function, the degree of qualifications necessary to get a position is relatively high when compared to other IT careers. That is most likely the reason for the high average income and pleasant working environment. It is preferable to study in the most effective manner possible if you want to work in the big data industry. LearningProcess Learning is primarily separated into two categories: self-study and academy study. Self-study has a minimal financial burden since there is no tuition, but unlike studying at an academy, it has the drawback of requiring you to study without any guidelines, thus it is not suggested if you are not confident in learning frequently. As I previously said, big data is a relatively new technology in comparison to other IT technologies, thus there aren’t many academies that provide big data education, and even if they do, it’s important to remember that each school has a different level.
Recently, through the combination of purchase history information, web log analysis, and location-based services, we have established a technology foundation for consumers to propose the services they want at the right time and place. Compared to the analog era, the scale of 데이터 data production in the digital era has been unpredictably produced, resulting in a big data society. CRM means conducting various marketing activities such as dataware houses that integrate data held by companies and customer data analysis to maintain customers and prevent deviations. In particular, text information distributed on 블로그 or SNS can be analyzed not only by the name of the person who wrote through the content, but also by the connection relationship of the other person who communicates. With the use of PCs, the Internet, and mobile devices becoming a part of daily life, the data left by people everywhere is increasing exponentially. However, the current big data environment refers to a paradigm shift in terms of quality and diversity as well as the amount of data compared to the past. Companies began customer relationship management activities in the 1990s to activate marketing activities using their customer data. ○ Master’s and Doctor’s Big Data Private Education craze ○ Small business owners, overcoming COVID-19 with big data technology ○ Government, big data with big data techniques means massive data generated in a digital environment, short generation cycle, and large-scale data including 문 text and video data. Let’s find out how to utilize big data that provides professional training so that we can utilize data that is considered a resource that has a clear outlook and does not disappear. Big data academy, which provides education to utilize, provides practical training on how to use through various education such as 데이터 data science 데이터 data mining 데이터ᄇ database SQL SQL 하 Hadup R R programming 머신 machine learning / deep learning. Data science is a technology called data science that functions the values of data and converts data according to input values to operate software. Recently, they also add value or complexity. How to Use Big Data Big Data has a lot to do with data science. In addition, using photos and video contents through PCs has already become common, and broadcasting programs are viewed on PCs or smartphones without going through TV receivers. Today, we learned about data science to utilize big data and big data, and if you want to know how to use it in more detail, please consult through the consultation application link below. The characteristics of big data are summarized in 3V. Unlike in the past, recent big data has been produced as every move of 일 due to the increased amount of 데이터의 data and the emergence of 사람 people’s consumption patterns and GPS. Such diverse and vast amounts of data are attracting attention in that they can be used as important resources that determine the advantage of future competitiveness. From this point of view, big data, like coal during the industrial revolution, is regarded as an important source for innovation, productivity improvement, and competitiveness during the IT and smart revolutions. Although UCC, which is produced by users themselves, and text messages generated by mobile phones and social network services (SNS), are showing different patterns not only in the rate of data growth, but also in form and quality. It means V Volume (amount of data) V Velocity (data generation rate) V Variety (data diversity. . Companies’ CRM activities include affiliate marketing using data from affiliates as well as their customer data. Many job seekers are looking into big data and data science courses because key technologies that will lead the 4th industrial revolution, such as AI artificial intelligence, IoT IoT IoT, Internet of Things, and drones, can utilize big data and data science technologies to implement higher-quality technologies. Attempts to analyze large-scale data to find meaningful information have existed in the past. Therefore, the more 데이터 there is, the more 할 big data and data science 사이 win-win, and 이를 the software that utilizes it is representative AI AI artificial intelligence and computerized automatic program.