An Efficient Method to Build a Standard Data Entry System by Extracting OLAP Cubes from NoSQL Data Sources

Any relational database can be an electronic digital database by using the relational model of files/data since it is offered simply by E. F. Codd in 1970. Any computer software method is utilized to sustain relational sources can be a relational databases management system (RDBMS). Several relational databases methods provide an alternative regarding while using the queries and also keeping the particular databases. Any NoSQL (originally discussing "non-SQL or perhaps "non- relational") database offers a mechanism for safe-keeping of data and also a collection of info which is modeled. Because of NoSQL directories tend to be developing within recognition, integration associated with various NoSQL techniques as well as interoperability associated with NoSQL techniques along with SQL directories turn out to be an ever more essential issue. We have proposed the mixed method to extracting OLAP cubes from NoSQL data sources and make a standard data entry system with regard to NoSQL as well as SQL data source. Our proposed algorithm consists of 4 stages: shingling, chunk, minhashing as well as locality-sensitive hashing MapReduce (LSHMR). Every stage works an effective procedure upon entering NoSQL directories. Our proposed method and algorithm demonstrate over 75% involving productivity as opposed to other algorithms.