Bigdata Analytics and Engineering Lab

Recently, according to growing the data volume, the number of needed resources is increasing for processing it effectively. At the same time, the processing methodologies is complexifying, and thus other domain experts have become difficult to deal with the method without the knowledge of data processing. However, study and application of big data are hot issues in the society, so the enterprises are increased that are interested in and provide platforms that help use the huge data not bounded by time. In addition, clouds are used for providing what they need, and the users can make an attempt using of data easily with low price. Through the needs of data infrastructure for using data is increasing in the industry, this laboratory studies 1. Building a bigdata platform for providing optimal environments of using data, and 2. Development of cloud service that used in data processing and analytics.

• Studying the event log distributed replay algorithm that can play the larger log data that couldn’t replay in the web browsers before.
• At data lake that is extended than data warehouse, developing automatic services that can check, extract, search, process, and analyze freely without users’ efforts.

• Establishment of the service that provide a simulation analytic tool based on the operating big data through the web.
• Predictive analytics service development on cloud that makes easy to use for anyone who wants data predictive analytics by making intuitive evaluation index of data analytics and standardizing the processes of the predictive analytics.
• Building the base of providing a customizing analytic service that needs short time and is easy by designing the standardized data analytic service based on machine learning and modularizing the model structures for customizing.