Dimension Reduction in Big Data Environment-A Survey

Abstract

Relational database management system is able to tackle data set which is structured in some way and by means of querying to the system user gets certain answer. But if the data set itself does not lie under any sort of structure, it is generally very tedious job for user to get answer to certain query. This is the new challenge coming out for the last decade to the scientists, researchers, industrialists and this new form of data is termed as big data. Parallel computation not only from the concept of hardware, but different application dependent software is now being developed to tackle this new data set for solving the challenges generally attached with large data set such as data curation, search, querying, storage etc. Information sensing devices, RFID readers, cloud storage now days are making data set to grow in an increasing manner. The goal of big data analytics is to help industry and organizations to take intelligent decisions by analyzing huge number of transactions that remain untouched till today by conventional business intelligent systems. As the size of dataset grows large also with redundancy, software and people need to analyze only useful information for particular application and this newly reduced dataset are useful compare to noisy and large data.