Implementation of NoSQL-based Data Warehouses
Ivo Odītis, Zane Bičevska, Jānis Bičevskis, Ģirts Karnītis
Abstract
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Ivo Odītis, Zane Bičevska, Jānis Bičevskis, Ģirts Karnītis
Abstract
Open-access reader
Data warehouses traditionally are built using relational databases.The main reason for that -data warehouses mostly are used in enterprises with large-scale data sets stored in relational data structures of different legacy systems.Though rapidly developing non-relational databases also are still rather unusual in data processing tasks.This paper discusses the possibilities and advantages of using document-oriented NoSQL database management systems in data warehousing.The paper describes processes and implementation aspects of building data warehouses using a NoSQL data storages.The research is based on practical experience gained during implementing of NoSQL data marts in MongoDB.
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Data warehouses traditionally are built using relational databases.The main reason for that -data warehouses mostly are used in enterprises with large-scale data sets stored in relational data structures of different legacy systems.Though rapidly developing non-relational databases also are still rather unusual in data processing tasks.This paper discusses the possibilities and advantages of using document-oriented NoSQL database management systems in data warehousing.The paper describes processes and implementation aspects of building data warehouses using a NoSQL data storages.The research is based on practical experience gained during implementing of NoSQL data marts in MongoDB.
Key concepts: NoSQL, Data warehouse, Warehouse, Computer science, Database, Data science, Big data, Data mining