Abstract: A method for performing multi-caching on data sources of a same type and different types by using a cluster-based processing system is provided. The method includes steps of: a big data cluster management device (a) determining whether a result set, corresponding to a query result, is present as first cache data in master or worker nodes, (b) if specific part of the result set is absent, (i) establishing an execution plan (ii) acquiring a first subset in the master or the worker nodes, (iii) acquiring a second subset in none of the master and the worker nodes, and (iv) applying joint operation thereto, and (c) applying data processing operation and output operation thereto thus acquiring the result set as the query result.

Abstract: A method for outputting a result of one or more operations using data sources of different types is provided. The method includes steps of: (a) when a user query is acquired, a device (i) acquiring data elements respectively from the data sources of different types by referring to the user query, and (ii) performing main joint operations on the data elements, to thereby generate data set; and (b) the device performing data processing operations and output operations on the data set, to thereby generate an answer for the user query. It has an effect of providing the method for outputting the result of the operations using the data sources of the different types by referring to each of languages corresponding to each of the data sources.

Abstract: A method for performing normalization of at least one piece of unstructured data is provided. The method includes steps of: (a) a computing device parsing or supporting other device to parse at least some unstructured data under a parsing rule; (b) the computing device selecting or supporting other device to select item names corresponding to individual fields extracted from the unstructured data through the parsing and verifying or supporting other device to verify a validity of data types corresponding to the individual fields; (c) the computing device creating or supporting other device to create information on transformation of the unstructured data by referring to the item names and the data types and transforming or supporting other device to transform the unstructured data based on the information; and (d) the computing device creating or supporting other device to create a program code for the normalization based on the information.

Abstract: A method for detecting a preset type of real-time event is provided. The method includes steps of: (a) a server loading or supporting other server to load a detection policy; and (b) the server detecting or supporting other server to detect an event in real-time from multiple input data by referring to the detection policy.

Abstract: A method for detecting a preset type of real-time event is provided. The method includes steps of: (a) a server loading or supporting other server to load a detection policy; and (b) the server detecting or supporting other server to detect an event in real-time from multiple input data by referring to the detection policy.