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This time, we will be posting about the management and use of big data, which has become an essential technology in our lives through the use of machine learning and AI.

[What is big data?]

Big data is data characterized by 3V: huge volume, high velocity, and high variety. Simply put, big data is larger, more complex data sets, especially from new data sources. These data sets are too large to be managed by traditional data processing software. However, these vast amounts of data can be used to solve previously unsolvable business problems.

[Extensive use of big data]

The development of open-source frameworks such as Hadoop (and more recently Spark) has been essential to the growth of big data because it makes it easier to consume and reduces storage costs. Since then, the amount of big data has skyrocketed.

Users are still generating massive amounts of data, but they're not the only ones generating it. With the advent of the Internet of Things (IoT), more objects and devices are connected to the Internet to collect data about customer usage patterns and product performance. The advent of machine learning has created more data.

Cloud computing has further expanded the possibilities of big data. The cloud offers truly elastic scalability, allowing developers to spin up temporary clusters to test subsets of their data. Graph databases are also becoming increasingly important, with their ability to display massive amounts of data in a way that makes analysis fast and comprehensive.

[Advantages of using big data]

Big data allows us to get more complete answers because we have more information. More complete answers mean more trust in your data. That means a completely different approach to problem-solving.

[Advantages of using big data in business]

Big data can help address a variety of business activities, from customer experience to analytics.

[Use of big data in research papers]

Big data promises to revolutionize knowledge production within and beyond science by enabling new and highly efficient ways to plan, conduct, disseminate, and evaluate research. The past few decades have witnessed the creation of new ways to generate, store, and analyze data, using computational, algorithmic, statistical, and mathematical techniques to generate knowledge from big data.

[Data handling research: Professor Nam Wook Kim]

Emerging big data handling can enhance the professionalism of your research papers. GIRE supports a fellowship and internship program with Professor Nam Wook Kim from Boston College to conduct innovative engineering research using big data. In addition to engineering, students' ability to use big data can be demonstrated in fields such as humanities, international relations, STEM, medicine, and journalism.

​GIRE Grace Global Research Consulting is the only one in Korea that provides dissertation research consulting directly from consultants currently working as professors at the world's top universities.

With GIRE, high school students receive direct support from consultants and conduct unprecedented research in research areas they are curious about, acquiring specialized knowledge, discovering new facts, and considering ways to utilize the research results.

​Students who complete this course will be issued a letter of recommendation and a certificate of completion. Furthermore, they will be submitting their paper to a promising high school academic journal.

GIRE nurtures students who do research, not students who study. If you are a student who would like to go beyond Korea and learn and share with the world, please contact us using the contact information below or visit the GIRE website.