Kim Se-mi et al.: Financial Big Data Analysis

Because of the financial infrastructure, the introduction of the Mydata, the participation of the monetary data, data analysis using financial Big Data has become a necessary task for creating new value. Now, the question is how do the unemployed process and adapt this vast data? I wish they had the same capacity as data analysts, but it's hard to do that. So I want to introduce you to a data analysis tool that allows you to reduce these pains and devote yourself to analysis. It's the third-grade SDS developed. It's a tool that can easily analyze data without needing expertise in programming technology, data analysis. Because we've been able to implement most of the area that you need professional capacity to be a function. So you can take the function that you need and build the analysis model in a way that's like a block code. And those who are first to do data analysis can intuitively process 04 and predict whether or not they're going to extract customer data that matches certain information or join customer pension savings. The Financial Data Analyses, which begins with Biographics now, was made up of a theory and practical part. After learning how to do basic analysis, you can run the 7:07x2 and build an analysis model and break the foundation of the data. I've done it as easily as possible so that you can understand the first data analysis. And we've also tried to show that we can use similar tools of analysis.

Korean title: 금융 빅데이터 분석

Korean author: 김세미 외

Korean publisher: 디지털북스

ISBN-13: 9788960883482