Abstract: A data catalog providing method configured to provide functions related to management and retrieval for data sets stored in a database is provided. The data catalog providing method provides recommendation information for a user by collecting log data of users querying a data set by using a data catalog, and using AI (Artificial Intelligence) recommendation model, based on log data and/or data sets. The AI recommendation model, which is learned based on the collected log data, generates recommendation information by using different recommendation algorithms according to an amount of the accumulated log data.

Abstract: Provided are an apparatus and a method for replicating changed-data in a source database management system to a target database management system in real time, for minimizing the load on the source DBMS system, reducing costs for DBMS hardware configuration, and facilitating operation and failure recovery. The source server transmits the changed-data from a redo log file or an archive log file in a source DBMS area to a target server in real time, and the target server receives the changed-data transmitted from the source server to temporarily store the changed-data in a local area, and extracts the change data stored in the local area to replicate the extracted changed-data to the target DBMS, thereby implementing the apparatus for replicating the changed-data in the source database management system to the target database management system in real time.

Abstract: The present invention relates to a system for storing and searching big data in real-time, wherein the system stores data in real-time in response to mass data generation without data loss in a memory, and allows the same to simultaneously be searched in real-time; and leaves only a predetermined amount of the data in a memory, stores the remaining old data in a Hadoop distributed file system (HDFS) in a structured format, and allows the same to be swiftly searched.